End of training
Browse files- README.md +74 -0
- pytorch_model.bin +1 -1
- trainer_state.json +3286 -0
README.md
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: facebook/wav2vec2-xls-r-300m
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- wer
|
| 8 |
+
model-index:
|
| 9 |
+
- name: 1-epochs6.0-char-based-freeze_cnn-dropout0.1
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# 1-epochs6.0-char-based-freeze_cnn-dropout0.1
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.7833
|
| 21 |
+
- Wer: 0.4843
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 2e-05
|
| 41 |
+
- train_batch_size: 10
|
| 42 |
+
- eval_batch_size: 4
|
| 43 |
+
- seed: 42
|
| 44 |
+
- distributed_type: multi-GPU
|
| 45 |
+
- num_devices: 4
|
| 46 |
+
- total_train_batch_size: 40
|
| 47 |
+
- total_eval_batch_size: 16
|
| 48 |
+
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
|
| 49 |
+
- lr_scheduler_type: linear
|
| 50 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 51 |
+
- num_epochs: 6.0
|
| 52 |
+
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 56 |
+
|:-------------:|:-----:|:-----:|:---------------:|:------:|
|
| 57 |
+
| 3.4067 | 0.57 | 2500 | 3.5770 | 1.0 |
|
| 58 |
+
| 2.3866 | 1.14 | 5000 | 2.1913 | 1.0236 |
|
| 59 |
+
| 1.2369 | 1.7 | 7500 | 1.0121 | 0.6844 |
|
| 60 |
+
| 1.3609 | 2.27 | 10000 | 0.9048 | 0.5847 |
|
| 61 |
+
| 1.0586 | 2.84 | 12500 | 0.8494 | 0.5447 |
|
| 62 |
+
| 0.7728 | 3.41 | 15000 | 0.8188 | 0.5185 |
|
| 63 |
+
| 1.0428 | 3.98 | 17500 | 0.7845 | 0.4961 |
|
| 64 |
+
| 0.8995 | 4.55 | 20000 | 0.7846 | 0.4884 |
|
| 65 |
+
| 0.7284 | 5.11 | 22500 | 0.7877 | 0.4866 |
|
| 66 |
+
| 0.7733 | 5.68 | 25000 | 0.7833 | 0.4843 |
|
| 67 |
+
|
| 68 |
+
|
| 69 |
+
### Framework versions
|
| 70 |
+
|
| 71 |
+
- Transformers 4.34.0
|
| 72 |
+
- Pytorch 2.0.1
|
| 73 |
+
- Datasets 2.14.5
|
| 74 |
+
- Tokenizers 0.14.1
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1262270829
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6e37b70b4ad3bb3d3bc687704a8281f342350666a3940ea248dc1793ecf46c95
|
| 3 |
size 1262270829
|
trainer_state.json
ADDED
|
@@ -0,0 +1,3286 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 6.0,
|
| 5 |
+
"eval_steps": 2500,
|
| 6 |
+
"global_step": 26400,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.01,
|
| 13 |
+
"learning_rate": 3.4848484848484856e-07,
|
| 14 |
+
"loss": 20.3359,
|
| 15 |
+
"step": 50
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.02,
|
| 19 |
+
"learning_rate": 7.272727272727273e-07,
|
| 20 |
+
"loss": 17.6992,
|
| 21 |
+
"step": 100
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.03,
|
| 25 |
+
"learning_rate": 1.0984848484848485e-06,
|
| 26 |
+
"loss": 18.4227,
|
| 27 |
+
"step": 150
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.05,
|
| 31 |
+
"learning_rate": 1.4696969696969698e-06,
|
| 32 |
+
"loss": 17.7956,
|
| 33 |
+
"step": 200
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.06,
|
| 37 |
+
"learning_rate": 1.8484848484848487e-06,
|
| 38 |
+
"loss": 16.5278,
|
| 39 |
+
"step": 250
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.07,
|
| 43 |
+
"learning_rate": 2.2272727272727274e-06,
|
| 44 |
+
"loss": 16.4439,
|
| 45 |
+
"step": 300
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.08,
|
| 49 |
+
"learning_rate": 2.6060606060606064e-06,
|
| 50 |
+
"loss": 14.4224,
|
| 51 |
+
"step": 350
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.09,
|
| 55 |
+
"learning_rate": 2.984848484848485e-06,
|
| 56 |
+
"loss": 13.3431,
|
| 57 |
+
"step": 400
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.1,
|
| 61 |
+
"learning_rate": 3.3636363636363637e-06,
|
| 62 |
+
"loss": 11.9916,
|
| 63 |
+
"step": 450
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.11,
|
| 67 |
+
"learning_rate": 3.742424242424243e-06,
|
| 68 |
+
"loss": 10.8184,
|
| 69 |
+
"step": 500
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.12,
|
| 73 |
+
"learning_rate": 4.1212121212121215e-06,
|
| 74 |
+
"loss": 10.1329,
|
| 75 |
+
"step": 550
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.14,
|
| 79 |
+
"learning_rate": 4.5e-06,
|
| 80 |
+
"loss": 9.9713,
|
| 81 |
+
"step": 600
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.15,
|
| 85 |
+
"learning_rate": 4.878787878787879e-06,
|
| 86 |
+
"loss": 9.165,
|
| 87 |
+
"step": 650
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.16,
|
| 91 |
+
"learning_rate": 5.257575757575758e-06,
|
| 92 |
+
"loss": 7.7716,
|
| 93 |
+
"step": 700
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.17,
|
| 97 |
+
"learning_rate": 5.636363636363636e-06,
|
| 98 |
+
"loss": 7.3042,
|
| 99 |
+
"step": 750
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.18,
|
| 103 |
+
"learning_rate": 6.015151515151516e-06,
|
| 104 |
+
"loss": 6.5469,
|
| 105 |
+
"step": 800
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.19,
|
| 109 |
+
"learning_rate": 6.393939393939394e-06,
|
| 110 |
+
"loss": 6.1649,
|
| 111 |
+
"step": 850
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.2,
|
| 115 |
+
"learning_rate": 6.772727272727273e-06,
|
| 116 |
+
"loss": 5.7559,
|
| 117 |
+
"step": 900
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.22,
|
| 121 |
+
"learning_rate": 7.151515151515152e-06,
|
| 122 |
+
"loss": 5.3576,
|
| 123 |
+
"step": 950
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.23,
|
| 127 |
+
"learning_rate": 7.530303030303031e-06,
|
| 128 |
+
"loss": 5.2641,
|
| 129 |
+
"step": 1000
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.24,
|
| 133 |
+
"learning_rate": 7.909090909090909e-06,
|
| 134 |
+
"loss": 4.8608,
|
| 135 |
+
"step": 1050
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.25,
|
| 139 |
+
"learning_rate": 8.287878787878787e-06,
|
| 140 |
+
"loss": 4.838,
|
| 141 |
+
"step": 1100
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.26,
|
| 145 |
+
"learning_rate": 8.666666666666668e-06,
|
| 146 |
+
"loss": 4.5432,
|
| 147 |
+
"step": 1150
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.27,
|
| 151 |
+
"learning_rate": 9.045454545454546e-06,
|
| 152 |
+
"loss": 4.2642,
|
| 153 |
+
"step": 1200
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.28,
|
| 157 |
+
"learning_rate": 9.424242424242425e-06,
|
| 158 |
+
"loss": 4.0826,
|
| 159 |
+
"step": 1250
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.3,
|
| 163 |
+
"learning_rate": 9.803030303030304e-06,
|
| 164 |
+
"loss": 4.216,
|
| 165 |
+
"step": 1300
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.31,
|
| 169 |
+
"learning_rate": 1.0181818181818182e-05,
|
| 170 |
+
"loss": 3.7907,
|
| 171 |
+
"step": 1350
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.32,
|
| 175 |
+
"learning_rate": 1.0560606060606063e-05,
|
| 176 |
+
"loss": 3.6822,
|
| 177 |
+
"step": 1400
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.33,
|
| 181 |
+
"learning_rate": 1.0939393939393941e-05,
|
| 182 |
+
"loss": 3.6232,
|
| 183 |
+
"step": 1450
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.34,
|
| 187 |
+
"learning_rate": 1.131818181818182e-05,
|
| 188 |
+
"loss": 3.6947,
|
| 189 |
+
"step": 1500
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.35,
|
| 193 |
+
"learning_rate": 1.1696969696969697e-05,
|
| 194 |
+
"loss": 3.5923,
|
| 195 |
+
"step": 1550
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.36,
|
| 199 |
+
"learning_rate": 1.2075757575757576e-05,
|
| 200 |
+
"loss": 3.5199,
|
| 201 |
+
"step": 1600
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.38,
|
| 205 |
+
"learning_rate": 1.2454545454545454e-05,
|
| 206 |
+
"loss": 3.47,
|
| 207 |
+
"step": 1650
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.39,
|
| 211 |
+
"learning_rate": 1.2833333333333335e-05,
|
| 212 |
+
"loss": 3.4292,
|
| 213 |
+
"step": 1700
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.4,
|
| 217 |
+
"learning_rate": 1.3212121212121213e-05,
|
| 218 |
+
"loss": 3.4521,
|
| 219 |
+
"step": 1750
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.41,
|
| 223 |
+
"learning_rate": 1.3590909090909092e-05,
|
| 224 |
+
"loss": 3.4836,
|
| 225 |
+
"step": 1800
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.42,
|
| 229 |
+
"learning_rate": 1.396969696969697e-05,
|
| 230 |
+
"loss": 3.3962,
|
| 231 |
+
"step": 1850
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.43,
|
| 235 |
+
"learning_rate": 1.434848484848485e-05,
|
| 236 |
+
"loss": 3.4031,
|
| 237 |
+
"step": 1900
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 0.44,
|
| 241 |
+
"learning_rate": 1.4727272727272728e-05,
|
| 242 |
+
"loss": 3.427,
|
| 243 |
+
"step": 1950
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 0.45,
|
| 247 |
+
"learning_rate": 1.5106060606060607e-05,
|
| 248 |
+
"loss": 3.3832,
|
| 249 |
+
"step": 2000
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.47,
|
| 253 |
+
"learning_rate": 1.548484848484849e-05,
|
| 254 |
+
"loss": 3.4535,
|
| 255 |
+
"step": 2050
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.48,
|
| 259 |
+
"learning_rate": 1.5863636363636364e-05,
|
| 260 |
+
"loss": 3.3963,
|
| 261 |
+
"step": 2100
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.49,
|
| 265 |
+
"learning_rate": 1.6242424242424243e-05,
|
| 266 |
+
"loss": 3.4299,
|
| 267 |
+
"step": 2150
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 0.5,
|
| 271 |
+
"learning_rate": 1.662121212121212e-05,
|
| 272 |
+
"loss": 3.4213,
|
| 273 |
+
"step": 2200
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 0.51,
|
| 277 |
+
"learning_rate": 1.7e-05,
|
| 278 |
+
"loss": 3.3911,
|
| 279 |
+
"step": 2250
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.52,
|
| 283 |
+
"learning_rate": 1.737878787878788e-05,
|
| 284 |
+
"loss": 3.3448,
|
| 285 |
+
"step": 2300
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.53,
|
| 289 |
+
"learning_rate": 1.775757575757576e-05,
|
| 290 |
+
"loss": 3.4302,
|
| 291 |
+
"step": 2350
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 0.55,
|
| 295 |
+
"learning_rate": 1.813636363636364e-05,
|
| 296 |
+
"loss": 3.3987,
|
| 297 |
+
"step": 2400
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.56,
|
| 301 |
+
"learning_rate": 1.8515151515151518e-05,
|
| 302 |
+
"loss": 3.3569,
|
| 303 |
+
"step": 2450
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.57,
|
| 307 |
+
"learning_rate": 1.8893939393939397e-05,
|
| 308 |
+
"loss": 3.4067,
|
| 309 |
+
"step": 2500
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 0.57,
|
| 313 |
+
"eval_loss": 3.577014446258545,
|
| 314 |
+
"eval_runtime": 11.1943,
|
| 315 |
+
"eval_samples_per_second": 126.85,
|
| 316 |
+
"eval_steps_per_second": 7.95,
|
| 317 |
+
"eval_wer": 1.0,
|
| 318 |
+
"step": 2500
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.58,
|
| 322 |
+
"learning_rate": 1.9272727272727275e-05,
|
| 323 |
+
"loss": 3.4038,
|
| 324 |
+
"step": 2550
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.59,
|
| 328 |
+
"learning_rate": 1.9651515151515154e-05,
|
| 329 |
+
"loss": 3.4909,
|
| 330 |
+
"step": 2600
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 0.6,
|
| 334 |
+
"learning_rate": 1.9996632996632998e-05,
|
| 335 |
+
"loss": 3.3383,
|
| 336 |
+
"step": 2650
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 0.61,
|
| 340 |
+
"learning_rate": 1.9954545454545455e-05,
|
| 341 |
+
"loss": 3.5182,
|
| 342 |
+
"step": 2700
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 0.62,
|
| 346 |
+
"learning_rate": 1.9912457912457913e-05,
|
| 347 |
+
"loss": 3.368,
|
| 348 |
+
"step": 2750
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 0.64,
|
| 352 |
+
"learning_rate": 1.987037037037037e-05,
|
| 353 |
+
"loss": 3.369,
|
| 354 |
+
"step": 2800
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 0.65,
|
| 358 |
+
"learning_rate": 1.982828282828283e-05,
|
| 359 |
+
"loss": 3.3429,
|
| 360 |
+
"step": 2850
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.66,
|
| 364 |
+
"learning_rate": 1.978619528619529e-05,
|
| 365 |
+
"loss": 3.428,
|
| 366 |
+
"step": 2900
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.67,
|
| 370 |
+
"learning_rate": 1.9744107744107747e-05,
|
| 371 |
+
"loss": 3.414,
|
| 372 |
+
"step": 2950
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 0.68,
|
| 376 |
+
"learning_rate": 1.9702020202020204e-05,
|
| 377 |
+
"loss": 3.3328,
|
| 378 |
+
"step": 3000
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 0.69,
|
| 382 |
+
"learning_rate": 1.965993265993266e-05,
|
| 383 |
+
"loss": 3.3332,
|
| 384 |
+
"step": 3050
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 0.7,
|
| 388 |
+
"learning_rate": 1.961784511784512e-05,
|
| 389 |
+
"loss": 3.4696,
|
| 390 |
+
"step": 3100
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 0.72,
|
| 394 |
+
"learning_rate": 1.9575757575757577e-05,
|
| 395 |
+
"loss": 3.4222,
|
| 396 |
+
"step": 3150
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.73,
|
| 400 |
+
"learning_rate": 1.9533670033670034e-05,
|
| 401 |
+
"loss": 3.3857,
|
| 402 |
+
"step": 3200
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.74,
|
| 406 |
+
"learning_rate": 1.9491582491582492e-05,
|
| 407 |
+
"loss": 3.4623,
|
| 408 |
+
"step": 3250
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.75,
|
| 412 |
+
"learning_rate": 1.9449494949494953e-05,
|
| 413 |
+
"loss": 3.5146,
|
| 414 |
+
"step": 3300
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 0.76,
|
| 418 |
+
"learning_rate": 1.9407407407407407e-05,
|
| 419 |
+
"loss": 3.4005,
|
| 420 |
+
"step": 3350
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 0.77,
|
| 424 |
+
"learning_rate": 1.936616161616162e-05,
|
| 425 |
+
"loss": 3.3341,
|
| 426 |
+
"step": 3400
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 0.78,
|
| 430 |
+
"learning_rate": 1.9324074074074074e-05,
|
| 431 |
+
"loss": 3.4664,
|
| 432 |
+
"step": 3450
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 0.8,
|
| 436 |
+
"learning_rate": 1.9281986531986535e-05,
|
| 437 |
+
"loss": 3.3314,
|
| 438 |
+
"step": 3500
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 0.81,
|
| 442 |
+
"learning_rate": 1.9239898989898992e-05,
|
| 443 |
+
"loss": 3.479,
|
| 444 |
+
"step": 3550
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.82,
|
| 448 |
+
"learning_rate": 1.919781144781145e-05,
|
| 449 |
+
"loss": 3.3813,
|
| 450 |
+
"step": 3600
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.83,
|
| 454 |
+
"learning_rate": 1.9155723905723907e-05,
|
| 455 |
+
"loss": 3.2613,
|
| 456 |
+
"step": 3650
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 0.84,
|
| 460 |
+
"learning_rate": 1.9113636363636365e-05,
|
| 461 |
+
"loss": 3.2466,
|
| 462 |
+
"step": 3700
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 0.85,
|
| 466 |
+
"learning_rate": 1.9071548821548823e-05,
|
| 467 |
+
"loss": 3.2185,
|
| 468 |
+
"step": 3750
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 0.86,
|
| 472 |
+
"learning_rate": 1.902946127946128e-05,
|
| 473 |
+
"loss": 3.2956,
|
| 474 |
+
"step": 3800
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 0.88,
|
| 478 |
+
"learning_rate": 1.898737373737374e-05,
|
| 479 |
+
"loss": 3.1443,
|
| 480 |
+
"step": 3850
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 0.89,
|
| 484 |
+
"learning_rate": 1.8945286195286195e-05,
|
| 485 |
+
"loss": 3.1665,
|
| 486 |
+
"step": 3900
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.9,
|
| 490 |
+
"learning_rate": 1.8903198653198656e-05,
|
| 491 |
+
"loss": 3.2572,
|
| 492 |
+
"step": 3950
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.91,
|
| 496 |
+
"learning_rate": 1.8861111111111114e-05,
|
| 497 |
+
"loss": 3.0124,
|
| 498 |
+
"step": 4000
|
| 499 |
+
},
|
| 500 |
+
{
|
| 501 |
+
"epoch": 0.92,
|
| 502 |
+
"learning_rate": 1.881902356902357e-05,
|
| 503 |
+
"loss": 2.9797,
|
| 504 |
+
"step": 4050
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 0.93,
|
| 508 |
+
"learning_rate": 1.877693602693603e-05,
|
| 509 |
+
"loss": 2.9749,
|
| 510 |
+
"step": 4100
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 0.94,
|
| 514 |
+
"learning_rate": 1.8734848484848486e-05,
|
| 515 |
+
"loss": 2.9438,
|
| 516 |
+
"step": 4150
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 0.95,
|
| 520 |
+
"learning_rate": 1.8692760942760944e-05,
|
| 521 |
+
"loss": 2.9927,
|
| 522 |
+
"step": 4200
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 0.97,
|
| 526 |
+
"learning_rate": 1.86506734006734e-05,
|
| 527 |
+
"loss": 2.9932,
|
| 528 |
+
"step": 4250
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.98,
|
| 532 |
+
"learning_rate": 1.860858585858586e-05,
|
| 533 |
+
"loss": 2.8843,
|
| 534 |
+
"step": 4300
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.99,
|
| 538 |
+
"learning_rate": 1.8566498316498317e-05,
|
| 539 |
+
"loss": 3.0349,
|
| 540 |
+
"step": 4350
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 1.0,
|
| 544 |
+
"learning_rate": 1.8524410774410774e-05,
|
| 545 |
+
"loss": 3.0206,
|
| 546 |
+
"step": 4400
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 1.01,
|
| 550 |
+
"learning_rate": 1.8482323232323235e-05,
|
| 551 |
+
"loss": 3.1372,
|
| 552 |
+
"step": 4450
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 1.02,
|
| 556 |
+
"learning_rate": 1.8440235690235693e-05,
|
| 557 |
+
"loss": 3.0921,
|
| 558 |
+
"step": 4500
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 1.03,
|
| 562 |
+
"learning_rate": 1.839814814814815e-05,
|
| 563 |
+
"loss": 2.8954,
|
| 564 |
+
"step": 4550
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 1.05,
|
| 568 |
+
"learning_rate": 1.8356060606060608e-05,
|
| 569 |
+
"loss": 2.886,
|
| 570 |
+
"step": 4600
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.06,
|
| 574 |
+
"learning_rate": 1.8313973063973065e-05,
|
| 575 |
+
"loss": 2.9639,
|
| 576 |
+
"step": 4650
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 1.07,
|
| 580 |
+
"learning_rate": 1.8271885521885523e-05,
|
| 581 |
+
"loss": 2.6322,
|
| 582 |
+
"step": 4700
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"epoch": 1.08,
|
| 586 |
+
"learning_rate": 1.822979797979798e-05,
|
| 587 |
+
"loss": 2.5935,
|
| 588 |
+
"step": 4750
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 1.09,
|
| 592 |
+
"learning_rate": 1.818771043771044e-05,
|
| 593 |
+
"loss": 2.811,
|
| 594 |
+
"step": 4800
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 1.1,
|
| 598 |
+
"learning_rate": 1.8145622895622895e-05,
|
| 599 |
+
"loss": 2.4714,
|
| 600 |
+
"step": 4850
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 1.11,
|
| 604 |
+
"learning_rate": 1.8104377104377108e-05,
|
| 605 |
+
"loss": 2.4339,
|
| 606 |
+
"step": 4900
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 1.12,
|
| 610 |
+
"learning_rate": 1.8062289562289562e-05,
|
| 611 |
+
"loss": 2.3928,
|
| 612 |
+
"step": 4950
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.14,
|
| 616 |
+
"learning_rate": 1.8020202020202023e-05,
|
| 617 |
+
"loss": 2.3866,
|
| 618 |
+
"step": 5000
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 1.14,
|
| 622 |
+
"eval_loss": 2.1913039684295654,
|
| 623 |
+
"eval_runtime": 10.1283,
|
| 624 |
+
"eval_samples_per_second": 140.202,
|
| 625 |
+
"eval_steps_per_second": 8.787,
|
| 626 |
+
"eval_wer": 1.0235998910774258,
|
| 627 |
+
"step": 5000
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 1.15,
|
| 631 |
+
"learning_rate": 1.7978114478114477e-05,
|
| 632 |
+
"loss": 2.3114,
|
| 633 |
+
"step": 5050
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.16,
|
| 637 |
+
"learning_rate": 1.793602693602694e-05,
|
| 638 |
+
"loss": 2.6422,
|
| 639 |
+
"step": 5100
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 1.17,
|
| 643 |
+
"learning_rate": 1.7893939393939396e-05,
|
| 644 |
+
"loss": 2.2676,
|
| 645 |
+
"step": 5150
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 1.18,
|
| 649 |
+
"learning_rate": 1.7851851851851853e-05,
|
| 650 |
+
"loss": 2.2543,
|
| 651 |
+
"step": 5200
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 1.19,
|
| 655 |
+
"learning_rate": 1.780976430976431e-05,
|
| 656 |
+
"loss": 2.5168,
|
| 657 |
+
"step": 5250
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 1.2,
|
| 661 |
+
"learning_rate": 1.776767676767677e-05,
|
| 662 |
+
"loss": 2.2676,
|
| 663 |
+
"step": 5300
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"epoch": 1.22,
|
| 667 |
+
"learning_rate": 1.772558922558923e-05,
|
| 668 |
+
"loss": 2.159,
|
| 669 |
+
"step": 5350
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 1.23,
|
| 673 |
+
"learning_rate": 1.7683501683501684e-05,
|
| 674 |
+
"loss": 2.1864,
|
| 675 |
+
"step": 5400
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.24,
|
| 679 |
+
"learning_rate": 1.7641414141414145e-05,
|
| 680 |
+
"loss": 2.1289,
|
| 681 |
+
"step": 5450
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 1.25,
|
| 685 |
+
"learning_rate": 1.7599326599326602e-05,
|
| 686 |
+
"loss": 2.1965,
|
| 687 |
+
"step": 5500
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 1.26,
|
| 691 |
+
"learning_rate": 1.755723905723906e-05,
|
| 692 |
+
"loss": 2.1027,
|
| 693 |
+
"step": 5550
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"epoch": 1.27,
|
| 697 |
+
"learning_rate": 1.7515151515151517e-05,
|
| 698 |
+
"loss": 2.0938,
|
| 699 |
+
"step": 5600
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 1.28,
|
| 703 |
+
"learning_rate": 1.7473063973063975e-05,
|
| 704 |
+
"loss": 1.8391,
|
| 705 |
+
"step": 5650
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 1.3,
|
| 709 |
+
"learning_rate": 1.7430976430976432e-05,
|
| 710 |
+
"loss": 1.7619,
|
| 711 |
+
"step": 5700
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 1.31,
|
| 715 |
+
"learning_rate": 1.738888888888889e-05,
|
| 716 |
+
"loss": 2.0289,
|
| 717 |
+
"step": 5750
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.32,
|
| 721 |
+
"learning_rate": 1.7346801346801347e-05,
|
| 722 |
+
"loss": 1.8786,
|
| 723 |
+
"step": 5800
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 1.33,
|
| 727 |
+
"learning_rate": 1.7304713804713805e-05,
|
| 728 |
+
"loss": 1.8296,
|
| 729 |
+
"step": 5850
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 1.34,
|
| 733 |
+
"learning_rate": 1.7262626262626263e-05,
|
| 734 |
+
"loss": 2.0458,
|
| 735 |
+
"step": 5900
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 1.35,
|
| 739 |
+
"learning_rate": 1.7220538720538724e-05,
|
| 740 |
+
"loss": 1.6771,
|
| 741 |
+
"step": 5950
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 1.36,
|
| 745 |
+
"learning_rate": 1.717845117845118e-05,
|
| 746 |
+
"loss": 1.7184,
|
| 747 |
+
"step": 6000
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 1.38,
|
| 751 |
+
"learning_rate": 1.713636363636364e-05,
|
| 752 |
+
"loss": 1.6993,
|
| 753 |
+
"step": 6050
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 1.39,
|
| 757 |
+
"learning_rate": 1.7094276094276096e-05,
|
| 758 |
+
"loss": 1.5734,
|
| 759 |
+
"step": 6100
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.4,
|
| 763 |
+
"learning_rate": 1.7052188552188554e-05,
|
| 764 |
+
"loss": 1.5645,
|
| 765 |
+
"step": 6150
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 1.41,
|
| 769 |
+
"learning_rate": 1.701010101010101e-05,
|
| 770 |
+
"loss": 1.5143,
|
| 771 |
+
"step": 6200
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 1.42,
|
| 775 |
+
"learning_rate": 1.696801346801347e-05,
|
| 776 |
+
"loss": 2.114,
|
| 777 |
+
"step": 6250
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 1.43,
|
| 781 |
+
"learning_rate": 1.6925925925925926e-05,
|
| 782 |
+
"loss": 1.6193,
|
| 783 |
+
"step": 6300
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 1.44,
|
| 787 |
+
"learning_rate": 1.6883838383838384e-05,
|
| 788 |
+
"loss": 1.5596,
|
| 789 |
+
"step": 6350
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 1.45,
|
| 793 |
+
"learning_rate": 1.6841750841750845e-05,
|
| 794 |
+
"loss": 1.849,
|
| 795 |
+
"step": 6400
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 1.47,
|
| 799 |
+
"learning_rate": 1.67996632996633e-05,
|
| 800 |
+
"loss": 1.533,
|
| 801 |
+
"step": 6450
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.48,
|
| 805 |
+
"learning_rate": 1.675757575757576e-05,
|
| 806 |
+
"loss": 1.5936,
|
| 807 |
+
"step": 6500
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 1.49,
|
| 811 |
+
"learning_rate": 1.6715488215488218e-05,
|
| 812 |
+
"loss": 1.9707,
|
| 813 |
+
"step": 6550
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 1.5,
|
| 817 |
+
"learning_rate": 1.6673400673400675e-05,
|
| 818 |
+
"loss": 1.6483,
|
| 819 |
+
"step": 6600
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 1.51,
|
| 823 |
+
"learning_rate": 1.6631313131313133e-05,
|
| 824 |
+
"loss": 1.6503,
|
| 825 |
+
"step": 6650
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 1.52,
|
| 829 |
+
"learning_rate": 1.658922558922559e-05,
|
| 830 |
+
"loss": 1.7274,
|
| 831 |
+
"step": 6700
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 1.53,
|
| 835 |
+
"learning_rate": 1.6547138047138048e-05,
|
| 836 |
+
"loss": 1.6686,
|
| 837 |
+
"step": 6750
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 1.55,
|
| 841 |
+
"learning_rate": 1.6505050505050505e-05,
|
| 842 |
+
"loss": 1.5304,
|
| 843 |
+
"step": 6800
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.56,
|
| 847 |
+
"learning_rate": 1.6462962962962966e-05,
|
| 848 |
+
"loss": 1.3636,
|
| 849 |
+
"step": 6850
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 1.57,
|
| 853 |
+
"learning_rate": 1.642087542087542e-05,
|
| 854 |
+
"loss": 1.2884,
|
| 855 |
+
"step": 6900
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 1.58,
|
| 859 |
+
"learning_rate": 1.637878787878788e-05,
|
| 860 |
+
"loss": 1.5294,
|
| 861 |
+
"step": 6950
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 1.59,
|
| 865 |
+
"learning_rate": 1.633670033670034e-05,
|
| 866 |
+
"loss": 1.5356,
|
| 867 |
+
"step": 7000
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 1.6,
|
| 871 |
+
"learning_rate": 1.6294612794612796e-05,
|
| 872 |
+
"loss": 1.3595,
|
| 873 |
+
"step": 7050
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 1.61,
|
| 877 |
+
"learning_rate": 1.6252525252525254e-05,
|
| 878 |
+
"loss": 1.2942,
|
| 879 |
+
"step": 7100
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 1.62,
|
| 883 |
+
"learning_rate": 1.621043771043771e-05,
|
| 884 |
+
"loss": 1.2498,
|
| 885 |
+
"step": 7150
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 1.64,
|
| 889 |
+
"learning_rate": 1.616835016835017e-05,
|
| 890 |
+
"loss": 1.2096,
|
| 891 |
+
"step": 7200
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 1.65,
|
| 895 |
+
"learning_rate": 1.6126262626262627e-05,
|
| 896 |
+
"loss": 1.7646,
|
| 897 |
+
"step": 7250
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 1.66,
|
| 901 |
+
"learning_rate": 1.6084175084175088e-05,
|
| 902 |
+
"loss": 1.209,
|
| 903 |
+
"step": 7300
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
"epoch": 1.67,
|
| 907 |
+
"learning_rate": 1.6042087542087542e-05,
|
| 908 |
+
"loss": 1.3591,
|
| 909 |
+
"step": 7350
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 1.68,
|
| 913 |
+
"learning_rate": 1.6000000000000003e-05,
|
| 914 |
+
"loss": 1.2967,
|
| 915 |
+
"step": 7400
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 1.69,
|
| 919 |
+
"learning_rate": 1.595791245791246e-05,
|
| 920 |
+
"loss": 1.2097,
|
| 921 |
+
"step": 7450
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 1.7,
|
| 925 |
+
"learning_rate": 1.5915824915824918e-05,
|
| 926 |
+
"loss": 1.2369,
|
| 927 |
+
"step": 7500
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 1.7,
|
| 931 |
+
"eval_loss": 1.0120502710342407,
|
| 932 |
+
"eval_runtime": 10.2706,
|
| 933 |
+
"eval_samples_per_second": 138.259,
|
| 934 |
+
"eval_steps_per_second": 8.666,
|
| 935 |
+
"eval_wer": 0.684396841245348,
|
| 936 |
+
"step": 7500
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 1.72,
|
| 940 |
+
"learning_rate": 1.5873737373737375e-05,
|
| 941 |
+
"loss": 1.378,
|
| 942 |
+
"step": 7550
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 1.73,
|
| 946 |
+
"learning_rate": 1.5831649831649833e-05,
|
| 947 |
+
"loss": 1.1997,
|
| 948 |
+
"step": 7600
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 1.74,
|
| 952 |
+
"learning_rate": 1.578956228956229e-05,
|
| 953 |
+
"loss": 1.2648,
|
| 954 |
+
"step": 7650
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 1.75,
|
| 958 |
+
"learning_rate": 1.5747474747474748e-05,
|
| 959 |
+
"loss": 1.3954,
|
| 960 |
+
"step": 7700
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 1.76,
|
| 964 |
+
"learning_rate": 1.5705387205387206e-05,
|
| 965 |
+
"loss": 1.2695,
|
| 966 |
+
"step": 7750
|
| 967 |
+
},
|
| 968 |
+
{
|
| 969 |
+
"epoch": 1.77,
|
| 970 |
+
"learning_rate": 1.5663299663299666e-05,
|
| 971 |
+
"loss": 1.1902,
|
| 972 |
+
"step": 7800
|
| 973 |
+
},
|
| 974 |
+
{
|
| 975 |
+
"epoch": 1.78,
|
| 976 |
+
"learning_rate": 1.562121212121212e-05,
|
| 977 |
+
"loss": 1.2488,
|
| 978 |
+
"step": 7850
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 1.8,
|
| 982 |
+
"learning_rate": 1.557912457912458e-05,
|
| 983 |
+
"loss": 1.4412,
|
| 984 |
+
"step": 7900
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 1.81,
|
| 988 |
+
"learning_rate": 1.553703703703704e-05,
|
| 989 |
+
"loss": 1.1405,
|
| 990 |
+
"step": 7950
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 1.82,
|
| 994 |
+
"learning_rate": 1.5494949494949497e-05,
|
| 995 |
+
"loss": 1.1864,
|
| 996 |
+
"step": 8000
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 1.83,
|
| 1000 |
+
"learning_rate": 1.5452861952861954e-05,
|
| 1001 |
+
"loss": 1.0926,
|
| 1002 |
+
"step": 8050
|
| 1003 |
+
},
|
| 1004 |
+
{
|
| 1005 |
+
"epoch": 1.84,
|
| 1006 |
+
"learning_rate": 1.5410774410774412e-05,
|
| 1007 |
+
"loss": 1.0923,
|
| 1008 |
+
"step": 8100
|
| 1009 |
+
},
|
| 1010 |
+
{
|
| 1011 |
+
"epoch": 1.85,
|
| 1012 |
+
"learning_rate": 1.536868686868687e-05,
|
| 1013 |
+
"loss": 1.1358,
|
| 1014 |
+
"step": 8150
|
| 1015 |
+
},
|
| 1016 |
+
{
|
| 1017 |
+
"epoch": 1.86,
|
| 1018 |
+
"learning_rate": 1.5326599326599327e-05,
|
| 1019 |
+
"loss": 1.1179,
|
| 1020 |
+
"step": 8200
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 1.88,
|
| 1024 |
+
"learning_rate": 1.5284511784511788e-05,
|
| 1025 |
+
"loss": 1.2469,
|
| 1026 |
+
"step": 8250
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 1.89,
|
| 1030 |
+
"learning_rate": 1.5242424242424244e-05,
|
| 1031 |
+
"loss": 1.1038,
|
| 1032 |
+
"step": 8300
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 1.9,
|
| 1036 |
+
"learning_rate": 1.5200336700336701e-05,
|
| 1037 |
+
"loss": 1.0795,
|
| 1038 |
+
"step": 8350
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 1.91,
|
| 1042 |
+
"learning_rate": 1.5158249158249159e-05,
|
| 1043 |
+
"loss": 1.2395,
|
| 1044 |
+
"step": 8400
|
| 1045 |
+
},
|
| 1046 |
+
{
|
| 1047 |
+
"epoch": 1.92,
|
| 1048 |
+
"learning_rate": 1.5116161616161618e-05,
|
| 1049 |
+
"loss": 1.2588,
|
| 1050 |
+
"step": 8450
|
| 1051 |
+
},
|
| 1052 |
+
{
|
| 1053 |
+
"epoch": 1.93,
|
| 1054 |
+
"learning_rate": 1.5074074074074074e-05,
|
| 1055 |
+
"loss": 1.1212,
|
| 1056 |
+
"step": 8500
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 1.94,
|
| 1060 |
+
"learning_rate": 1.5031986531986533e-05,
|
| 1061 |
+
"loss": 1.3742,
|
| 1062 |
+
"step": 8550
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 1.95,
|
| 1066 |
+
"learning_rate": 1.4989898989898992e-05,
|
| 1067 |
+
"loss": 1.3141,
|
| 1068 |
+
"step": 8600
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 1.97,
|
| 1072 |
+
"learning_rate": 1.4947811447811448e-05,
|
| 1073 |
+
"loss": 1.1348,
|
| 1074 |
+
"step": 8650
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 1.98,
|
| 1078 |
+
"learning_rate": 1.4905723905723907e-05,
|
| 1079 |
+
"loss": 1.027,
|
| 1080 |
+
"step": 8700
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 1.99,
|
| 1084 |
+
"learning_rate": 1.4863636363636365e-05,
|
| 1085 |
+
"loss": 1.5249,
|
| 1086 |
+
"step": 8750
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 2.0,
|
| 1090 |
+
"learning_rate": 1.4821548821548824e-05,
|
| 1091 |
+
"loss": 1.0067,
|
| 1092 |
+
"step": 8800
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 2.01,
|
| 1096 |
+
"learning_rate": 1.477946127946128e-05,
|
| 1097 |
+
"loss": 1.1649,
|
| 1098 |
+
"step": 8850
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 2.02,
|
| 1102 |
+
"learning_rate": 1.473737373737374e-05,
|
| 1103 |
+
"loss": 1.1166,
|
| 1104 |
+
"step": 8900
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 2.03,
|
| 1108 |
+
"learning_rate": 1.4695286195286195e-05,
|
| 1109 |
+
"loss": 1.1776,
|
| 1110 |
+
"step": 8950
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 2.05,
|
| 1114 |
+
"learning_rate": 1.4653198653198654e-05,
|
| 1115 |
+
"loss": 1.188,
|
| 1116 |
+
"step": 9000
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 2.06,
|
| 1120 |
+
"learning_rate": 1.4611111111111112e-05,
|
| 1121 |
+
"loss": 1.0091,
|
| 1122 |
+
"step": 9050
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 2.07,
|
| 1126 |
+
"learning_rate": 1.456902356902357e-05,
|
| 1127 |
+
"loss": 1.0536,
|
| 1128 |
+
"step": 9100
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 2.08,
|
| 1132 |
+
"learning_rate": 1.4526936026936027e-05,
|
| 1133 |
+
"loss": 1.0909,
|
| 1134 |
+
"step": 9150
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 2.09,
|
| 1138 |
+
"learning_rate": 1.4484848484848486e-05,
|
| 1139 |
+
"loss": 1.0125,
|
| 1140 |
+
"step": 9200
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 2.1,
|
| 1144 |
+
"learning_rate": 1.4442760942760946e-05,
|
| 1145 |
+
"loss": 1.3341,
|
| 1146 |
+
"step": 9250
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 2.11,
|
| 1150 |
+
"learning_rate": 1.4400673400673401e-05,
|
| 1151 |
+
"loss": 1.0577,
|
| 1152 |
+
"step": 9300
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 2.12,
|
| 1156 |
+
"learning_rate": 1.435858585858586e-05,
|
| 1157 |
+
"loss": 1.1016,
|
| 1158 |
+
"step": 9350
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 2.14,
|
| 1162 |
+
"learning_rate": 1.4316498316498317e-05,
|
| 1163 |
+
"loss": 1.2768,
|
| 1164 |
+
"step": 9400
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 2.15,
|
| 1168 |
+
"learning_rate": 1.4274410774410776e-05,
|
| 1169 |
+
"loss": 1.0938,
|
| 1170 |
+
"step": 9450
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"epoch": 2.16,
|
| 1174 |
+
"learning_rate": 1.4232323232323233e-05,
|
| 1175 |
+
"loss": 1.1356,
|
| 1176 |
+
"step": 9500
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 2.17,
|
| 1180 |
+
"learning_rate": 1.4190235690235693e-05,
|
| 1181 |
+
"loss": 1.0515,
|
| 1182 |
+
"step": 9550
|
| 1183 |
+
},
|
| 1184 |
+
{
|
| 1185 |
+
"epoch": 2.18,
|
| 1186 |
+
"learning_rate": 1.4148148148148148e-05,
|
| 1187 |
+
"loss": 0.9527,
|
| 1188 |
+
"step": 9600
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 2.19,
|
| 1192 |
+
"learning_rate": 1.4106060606060608e-05,
|
| 1193 |
+
"loss": 1.7257,
|
| 1194 |
+
"step": 9650
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 2.2,
|
| 1198 |
+
"learning_rate": 1.4063973063973064e-05,
|
| 1199 |
+
"loss": 1.129,
|
| 1200 |
+
"step": 9700
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 2.22,
|
| 1204 |
+
"learning_rate": 1.4021885521885523e-05,
|
| 1205 |
+
"loss": 0.9502,
|
| 1206 |
+
"step": 9750
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 2.23,
|
| 1210 |
+
"learning_rate": 1.397979797979798e-05,
|
| 1211 |
+
"loss": 1.025,
|
| 1212 |
+
"step": 9800
|
| 1213 |
+
},
|
| 1214 |
+
{
|
| 1215 |
+
"epoch": 2.24,
|
| 1216 |
+
"learning_rate": 1.393771043771044e-05,
|
| 1217 |
+
"loss": 1.0832,
|
| 1218 |
+
"step": 9850
|
| 1219 |
+
},
|
| 1220 |
+
{
|
| 1221 |
+
"epoch": 2.25,
|
| 1222 |
+
"learning_rate": 1.3896464646464647e-05,
|
| 1223 |
+
"loss": 0.9857,
|
| 1224 |
+
"step": 9900
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 2.26,
|
| 1228 |
+
"learning_rate": 1.3854377104377107e-05,
|
| 1229 |
+
"loss": 1.3888,
|
| 1230 |
+
"step": 9950
|
| 1231 |
+
},
|
| 1232 |
+
{
|
| 1233 |
+
"epoch": 2.27,
|
| 1234 |
+
"learning_rate": 1.3812289562289562e-05,
|
| 1235 |
+
"loss": 1.3609,
|
| 1236 |
+
"step": 10000
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 2.27,
|
| 1240 |
+
"eval_loss": 0.9048006534576416,
|
| 1241 |
+
"eval_runtime": 10.2795,
|
| 1242 |
+
"eval_samples_per_second": 138.138,
|
| 1243 |
+
"eval_steps_per_second": 8.658,
|
| 1244 |
+
"eval_wer": 0.5847326858491423,
|
| 1245 |
+
"step": 10000
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 2.28,
|
| 1249 |
+
"learning_rate": 1.3770202020202022e-05,
|
| 1250 |
+
"loss": 0.9839,
|
| 1251 |
+
"step": 10050
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 2.3,
|
| 1255 |
+
"learning_rate": 1.3728114478114477e-05,
|
| 1256 |
+
"loss": 1.0667,
|
| 1257 |
+
"step": 10100
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 2.31,
|
| 1261 |
+
"learning_rate": 1.3686026936026937e-05,
|
| 1262 |
+
"loss": 1.337,
|
| 1263 |
+
"step": 10150
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 2.32,
|
| 1267 |
+
"learning_rate": 1.3643939393939396e-05,
|
| 1268 |
+
"loss": 0.9717,
|
| 1269 |
+
"step": 10200
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 2.33,
|
| 1273 |
+
"learning_rate": 1.3601851851851854e-05,
|
| 1274 |
+
"loss": 0.9965,
|
| 1275 |
+
"step": 10250
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"epoch": 2.34,
|
| 1279 |
+
"learning_rate": 1.3559764309764311e-05,
|
| 1280 |
+
"loss": 1.1371,
|
| 1281 |
+
"step": 10300
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 2.35,
|
| 1285 |
+
"learning_rate": 1.3517676767676769e-05,
|
| 1286 |
+
"loss": 1.376,
|
| 1287 |
+
"step": 10350
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 2.36,
|
| 1291 |
+
"learning_rate": 1.3475589225589228e-05,
|
| 1292 |
+
"loss": 1.0109,
|
| 1293 |
+
"step": 10400
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 2.38,
|
| 1297 |
+
"learning_rate": 1.3433501683501684e-05,
|
| 1298 |
+
"loss": 1.0311,
|
| 1299 |
+
"step": 10450
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 2.39,
|
| 1303 |
+
"learning_rate": 1.3391414141414143e-05,
|
| 1304 |
+
"loss": 1.2125,
|
| 1305 |
+
"step": 10500
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 2.4,
|
| 1309 |
+
"learning_rate": 1.33493265993266e-05,
|
| 1310 |
+
"loss": 1.4322,
|
| 1311 |
+
"step": 10550
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 2.41,
|
| 1315 |
+
"learning_rate": 1.3307239057239058e-05,
|
| 1316 |
+
"loss": 0.9145,
|
| 1317 |
+
"step": 10600
|
| 1318 |
+
},
|
| 1319 |
+
{
|
| 1320 |
+
"epoch": 2.42,
|
| 1321 |
+
"learning_rate": 1.3265151515151516e-05,
|
| 1322 |
+
"loss": 1.2237,
|
| 1323 |
+
"step": 10650
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"epoch": 2.43,
|
| 1327 |
+
"learning_rate": 1.3223063973063975e-05,
|
| 1328 |
+
"loss": 1.0428,
|
| 1329 |
+
"step": 10700
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 2.44,
|
| 1333 |
+
"learning_rate": 1.318097643097643e-05,
|
| 1334 |
+
"loss": 0.9095,
|
| 1335 |
+
"step": 10750
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 2.45,
|
| 1339 |
+
"learning_rate": 1.313888888888889e-05,
|
| 1340 |
+
"loss": 1.1105,
|
| 1341 |
+
"step": 10800
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 2.47,
|
| 1345 |
+
"learning_rate": 1.309680134680135e-05,
|
| 1346 |
+
"loss": 1.2221,
|
| 1347 |
+
"step": 10850
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 2.48,
|
| 1351 |
+
"learning_rate": 1.3054713804713805e-05,
|
| 1352 |
+
"loss": 0.8747,
|
| 1353 |
+
"step": 10900
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 2.49,
|
| 1357 |
+
"learning_rate": 1.3012626262626264e-05,
|
| 1358 |
+
"loss": 0.9897,
|
| 1359 |
+
"step": 10950
|
| 1360 |
+
},
|
| 1361 |
+
{
|
| 1362 |
+
"epoch": 2.5,
|
| 1363 |
+
"learning_rate": 1.2970538720538722e-05,
|
| 1364 |
+
"loss": 1.0568,
|
| 1365 |
+
"step": 11000
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 2.51,
|
| 1369 |
+
"learning_rate": 1.292845117845118e-05,
|
| 1370 |
+
"loss": 1.1523,
|
| 1371 |
+
"step": 11050
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 2.52,
|
| 1375 |
+
"learning_rate": 1.2886363636363637e-05,
|
| 1376 |
+
"loss": 1.1768,
|
| 1377 |
+
"step": 11100
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 2.53,
|
| 1381 |
+
"learning_rate": 1.2844276094276096e-05,
|
| 1382 |
+
"loss": 0.9121,
|
| 1383 |
+
"step": 11150
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 2.55,
|
| 1387 |
+
"learning_rate": 1.2802188552188552e-05,
|
| 1388 |
+
"loss": 0.8622,
|
| 1389 |
+
"step": 11200
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 2.56,
|
| 1393 |
+
"learning_rate": 1.2760101010101011e-05,
|
| 1394 |
+
"loss": 0.9122,
|
| 1395 |
+
"step": 11250
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 2.57,
|
| 1399 |
+
"learning_rate": 1.2718013468013469e-05,
|
| 1400 |
+
"loss": 0.9617,
|
| 1401 |
+
"step": 11300
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 2.58,
|
| 1405 |
+
"learning_rate": 1.2675925925925926e-05,
|
| 1406 |
+
"loss": 1.0195,
|
| 1407 |
+
"step": 11350
|
| 1408 |
+
},
|
| 1409 |
+
{
|
| 1410 |
+
"epoch": 2.59,
|
| 1411 |
+
"learning_rate": 1.2633838383838384e-05,
|
| 1412 |
+
"loss": 1.077,
|
| 1413 |
+
"step": 11400
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"epoch": 2.6,
|
| 1417 |
+
"learning_rate": 1.2591750841750843e-05,
|
| 1418 |
+
"loss": 1.1254,
|
| 1419 |
+
"step": 11450
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"epoch": 2.61,
|
| 1423 |
+
"learning_rate": 1.2549663299663302e-05,
|
| 1424 |
+
"loss": 0.923,
|
| 1425 |
+
"step": 11500
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 2.62,
|
| 1429 |
+
"learning_rate": 1.2507575757575758e-05,
|
| 1430 |
+
"loss": 1.2215,
|
| 1431 |
+
"step": 11550
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 2.64,
|
| 1435 |
+
"learning_rate": 1.2465488215488218e-05,
|
| 1436 |
+
"loss": 1.043,
|
| 1437 |
+
"step": 11600
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 2.65,
|
| 1441 |
+
"learning_rate": 1.2423400673400673e-05,
|
| 1442 |
+
"loss": 1.1023,
|
| 1443 |
+
"step": 11650
|
| 1444 |
+
},
|
| 1445 |
+
{
|
| 1446 |
+
"epoch": 2.66,
|
| 1447 |
+
"learning_rate": 1.2381313131313133e-05,
|
| 1448 |
+
"loss": 1.0038,
|
| 1449 |
+
"step": 11700
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 2.67,
|
| 1453 |
+
"learning_rate": 1.233922558922559e-05,
|
| 1454 |
+
"loss": 1.0056,
|
| 1455 |
+
"step": 11750
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 2.68,
|
| 1459 |
+
"learning_rate": 1.2297138047138048e-05,
|
| 1460 |
+
"loss": 1.0069,
|
| 1461 |
+
"step": 11800
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 2.69,
|
| 1465 |
+
"learning_rate": 1.2255050505050505e-05,
|
| 1466 |
+
"loss": 0.8525,
|
| 1467 |
+
"step": 11850
|
| 1468 |
+
},
|
| 1469 |
+
{
|
| 1470 |
+
"epoch": 2.7,
|
| 1471 |
+
"learning_rate": 1.2212962962962965e-05,
|
| 1472 |
+
"loss": 1.1088,
|
| 1473 |
+
"step": 11900
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 2.72,
|
| 1477 |
+
"learning_rate": 1.217087542087542e-05,
|
| 1478 |
+
"loss": 1.0916,
|
| 1479 |
+
"step": 11950
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 2.73,
|
| 1483 |
+
"learning_rate": 1.212878787878788e-05,
|
| 1484 |
+
"loss": 0.9322,
|
| 1485 |
+
"step": 12000
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"epoch": 2.74,
|
| 1489 |
+
"learning_rate": 1.2086700336700337e-05,
|
| 1490 |
+
"loss": 1.0906,
|
| 1491 |
+
"step": 12050
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"epoch": 2.75,
|
| 1495 |
+
"learning_rate": 1.2044612794612795e-05,
|
| 1496 |
+
"loss": 0.8504,
|
| 1497 |
+
"step": 12100
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 2.76,
|
| 1501 |
+
"learning_rate": 1.2002525252525254e-05,
|
| 1502 |
+
"loss": 1.1775,
|
| 1503 |
+
"step": 12150
|
| 1504 |
+
},
|
| 1505 |
+
{
|
| 1506 |
+
"epoch": 2.77,
|
| 1507 |
+
"learning_rate": 1.1960437710437712e-05,
|
| 1508 |
+
"loss": 1.1065,
|
| 1509 |
+
"step": 12200
|
| 1510 |
+
},
|
| 1511 |
+
{
|
| 1512 |
+
"epoch": 2.78,
|
| 1513 |
+
"learning_rate": 1.191835016835017e-05,
|
| 1514 |
+
"loss": 1.0454,
|
| 1515 |
+
"step": 12250
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 2.8,
|
| 1519 |
+
"learning_rate": 1.1876262626262627e-05,
|
| 1520 |
+
"loss": 0.8482,
|
| 1521 |
+
"step": 12300
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 2.81,
|
| 1525 |
+
"learning_rate": 1.1834175084175086e-05,
|
| 1526 |
+
"loss": 1.058,
|
| 1527 |
+
"step": 12350
|
| 1528 |
+
},
|
| 1529 |
+
{
|
| 1530 |
+
"epoch": 2.82,
|
| 1531 |
+
"learning_rate": 1.1792087542087542e-05,
|
| 1532 |
+
"loss": 0.871,
|
| 1533 |
+
"step": 12400
|
| 1534 |
+
},
|
| 1535 |
+
{
|
| 1536 |
+
"epoch": 2.83,
|
| 1537 |
+
"learning_rate": 1.1750000000000001e-05,
|
| 1538 |
+
"loss": 0.8323,
|
| 1539 |
+
"step": 12450
|
| 1540 |
+
},
|
| 1541 |
+
{
|
| 1542 |
+
"epoch": 2.84,
|
| 1543 |
+
"learning_rate": 1.1707912457912459e-05,
|
| 1544 |
+
"loss": 1.0586,
|
| 1545 |
+
"step": 12500
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 2.84,
|
| 1549 |
+
"eval_loss": 0.8494200110435486,
|
| 1550 |
+
"eval_runtime": 11.4297,
|
| 1551 |
+
"eval_samples_per_second": 124.238,
|
| 1552 |
+
"eval_steps_per_second": 7.787,
|
| 1553 |
+
"eval_wer": 0.5447036398293547,
|
| 1554 |
+
"step": 12500
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 2.85,
|
| 1558 |
+
"learning_rate": 1.1665824915824918e-05,
|
| 1559 |
+
"loss": 0.8632,
|
| 1560 |
+
"step": 12550
|
| 1561 |
+
},
|
| 1562 |
+
{
|
| 1563 |
+
"epoch": 2.86,
|
| 1564 |
+
"learning_rate": 1.1623737373737374e-05,
|
| 1565 |
+
"loss": 0.8505,
|
| 1566 |
+
"step": 12600
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"epoch": 2.88,
|
| 1570 |
+
"learning_rate": 1.1581649831649833e-05,
|
| 1571 |
+
"loss": 0.8234,
|
| 1572 |
+
"step": 12650
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"epoch": 2.89,
|
| 1576 |
+
"learning_rate": 1.1539562289562289e-05,
|
| 1577 |
+
"loss": 0.9053,
|
| 1578 |
+
"step": 12700
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 2.9,
|
| 1582 |
+
"learning_rate": 1.1497474747474748e-05,
|
| 1583 |
+
"loss": 0.9149,
|
| 1584 |
+
"step": 12750
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 2.91,
|
| 1588 |
+
"learning_rate": 1.1455387205387207e-05,
|
| 1589 |
+
"loss": 1.2585,
|
| 1590 |
+
"step": 12800
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"epoch": 2.92,
|
| 1594 |
+
"learning_rate": 1.1413299663299665e-05,
|
| 1595 |
+
"loss": 0.8888,
|
| 1596 |
+
"step": 12850
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"epoch": 2.93,
|
| 1600 |
+
"learning_rate": 1.1371212121212122e-05,
|
| 1601 |
+
"loss": 1.2228,
|
| 1602 |
+
"step": 12900
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"epoch": 2.94,
|
| 1606 |
+
"learning_rate": 1.132912457912458e-05,
|
| 1607 |
+
"loss": 1.0795,
|
| 1608 |
+
"step": 12950
|
| 1609 |
+
},
|
| 1610 |
+
{
|
| 1611 |
+
"epoch": 2.95,
|
| 1612 |
+
"learning_rate": 1.1287037037037039e-05,
|
| 1613 |
+
"loss": 0.9032,
|
| 1614 |
+
"step": 13000
|
| 1615 |
+
},
|
| 1616 |
+
{
|
| 1617 |
+
"epoch": 2.97,
|
| 1618 |
+
"learning_rate": 1.1244949494949495e-05,
|
| 1619 |
+
"loss": 0.8873,
|
| 1620 |
+
"step": 13050
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 2.98,
|
| 1624 |
+
"learning_rate": 1.1202861952861954e-05,
|
| 1625 |
+
"loss": 0.865,
|
| 1626 |
+
"step": 13100
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 2.99,
|
| 1630 |
+
"learning_rate": 1.116077441077441e-05,
|
| 1631 |
+
"loss": 1.0847,
|
| 1632 |
+
"step": 13150
|
| 1633 |
+
},
|
| 1634 |
+
{
|
| 1635 |
+
"epoch": 3.0,
|
| 1636 |
+
"learning_rate": 1.111868686868687e-05,
|
| 1637 |
+
"loss": 1.1395,
|
| 1638 |
+
"step": 13200
|
| 1639 |
+
},
|
| 1640 |
+
{
|
| 1641 |
+
"epoch": 3.01,
|
| 1642 |
+
"learning_rate": 1.1076599326599327e-05,
|
| 1643 |
+
"loss": 0.9799,
|
| 1644 |
+
"step": 13250
|
| 1645 |
+
},
|
| 1646 |
+
{
|
| 1647 |
+
"epoch": 3.02,
|
| 1648 |
+
"learning_rate": 1.1034511784511786e-05,
|
| 1649 |
+
"loss": 1.0804,
|
| 1650 |
+
"step": 13300
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"epoch": 3.03,
|
| 1654 |
+
"learning_rate": 1.0992424242424242e-05,
|
| 1655 |
+
"loss": 0.8461,
|
| 1656 |
+
"step": 13350
|
| 1657 |
+
},
|
| 1658 |
+
{
|
| 1659 |
+
"epoch": 3.05,
|
| 1660 |
+
"learning_rate": 1.0951178451178453e-05,
|
| 1661 |
+
"loss": 0.9993,
|
| 1662 |
+
"step": 13400
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 3.06,
|
| 1666 |
+
"learning_rate": 1.0909090909090909e-05,
|
| 1667 |
+
"loss": 0.968,
|
| 1668 |
+
"step": 13450
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 3.07,
|
| 1672 |
+
"learning_rate": 1.0867003367003368e-05,
|
| 1673 |
+
"loss": 1.0542,
|
| 1674 |
+
"step": 13500
|
| 1675 |
+
},
|
| 1676 |
+
{
|
| 1677 |
+
"epoch": 3.08,
|
| 1678 |
+
"learning_rate": 1.0824915824915824e-05,
|
| 1679 |
+
"loss": 0.8753,
|
| 1680 |
+
"step": 13550
|
| 1681 |
+
},
|
| 1682 |
+
{
|
| 1683 |
+
"epoch": 3.09,
|
| 1684 |
+
"learning_rate": 1.0782828282828283e-05,
|
| 1685 |
+
"loss": 1.1644,
|
| 1686 |
+
"step": 13600
|
| 1687 |
+
},
|
| 1688 |
+
{
|
| 1689 |
+
"epoch": 3.1,
|
| 1690 |
+
"learning_rate": 1.0740740740740742e-05,
|
| 1691 |
+
"loss": 0.8546,
|
| 1692 |
+
"step": 13650
|
| 1693 |
+
},
|
| 1694 |
+
{
|
| 1695 |
+
"epoch": 3.11,
|
| 1696 |
+
"learning_rate": 1.06986531986532e-05,
|
| 1697 |
+
"loss": 0.965,
|
| 1698 |
+
"step": 13700
|
| 1699 |
+
},
|
| 1700 |
+
{
|
| 1701 |
+
"epoch": 3.12,
|
| 1702 |
+
"learning_rate": 1.0656565656565658e-05,
|
| 1703 |
+
"loss": 0.8564,
|
| 1704 |
+
"step": 13750
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 3.14,
|
| 1708 |
+
"learning_rate": 1.0614478114478115e-05,
|
| 1709 |
+
"loss": 0.9246,
|
| 1710 |
+
"step": 13800
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 3.15,
|
| 1714 |
+
"learning_rate": 1.0572390572390574e-05,
|
| 1715 |
+
"loss": 0.9072,
|
| 1716 |
+
"step": 13850
|
| 1717 |
+
},
|
| 1718 |
+
{
|
| 1719 |
+
"epoch": 3.16,
|
| 1720 |
+
"learning_rate": 1.053030303030303e-05,
|
| 1721 |
+
"loss": 0.9194,
|
| 1722 |
+
"step": 13900
|
| 1723 |
+
},
|
| 1724 |
+
{
|
| 1725 |
+
"epoch": 3.17,
|
| 1726 |
+
"learning_rate": 1.048821548821549e-05,
|
| 1727 |
+
"loss": 0.8967,
|
| 1728 |
+
"step": 13950
|
| 1729 |
+
},
|
| 1730 |
+
{
|
| 1731 |
+
"epoch": 3.18,
|
| 1732 |
+
"learning_rate": 1.0446127946127947e-05,
|
| 1733 |
+
"loss": 0.8436,
|
| 1734 |
+
"step": 14000
|
| 1735 |
+
},
|
| 1736 |
+
{
|
| 1737 |
+
"epoch": 3.19,
|
| 1738 |
+
"learning_rate": 1.0404040404040405e-05,
|
| 1739 |
+
"loss": 0.8022,
|
| 1740 |
+
"step": 14050
|
| 1741 |
+
},
|
| 1742 |
+
{
|
| 1743 |
+
"epoch": 3.2,
|
| 1744 |
+
"learning_rate": 1.0361952861952862e-05,
|
| 1745 |
+
"loss": 1.08,
|
| 1746 |
+
"step": 14100
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 3.22,
|
| 1750 |
+
"learning_rate": 1.0319865319865321e-05,
|
| 1751 |
+
"loss": 1.3585,
|
| 1752 |
+
"step": 14150
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 3.23,
|
| 1756 |
+
"learning_rate": 1.0277777777777777e-05,
|
| 1757 |
+
"loss": 1.0101,
|
| 1758 |
+
"step": 14200
|
| 1759 |
+
},
|
| 1760 |
+
{
|
| 1761 |
+
"epoch": 3.24,
|
| 1762 |
+
"learning_rate": 1.0235690235690236e-05,
|
| 1763 |
+
"loss": 0.9023,
|
| 1764 |
+
"step": 14250
|
| 1765 |
+
},
|
| 1766 |
+
{
|
| 1767 |
+
"epoch": 3.25,
|
| 1768 |
+
"learning_rate": 1.0193602693602696e-05,
|
| 1769 |
+
"loss": 0.8531,
|
| 1770 |
+
"step": 14300
|
| 1771 |
+
},
|
| 1772 |
+
{
|
| 1773 |
+
"epoch": 3.26,
|
| 1774 |
+
"learning_rate": 1.0151515151515152e-05,
|
| 1775 |
+
"loss": 0.9215,
|
| 1776 |
+
"step": 14350
|
| 1777 |
+
},
|
| 1778 |
+
{
|
| 1779 |
+
"epoch": 3.27,
|
| 1780 |
+
"learning_rate": 1.010942760942761e-05,
|
| 1781 |
+
"loss": 0.8091,
|
| 1782 |
+
"step": 14400
|
| 1783 |
+
},
|
| 1784 |
+
{
|
| 1785 |
+
"epoch": 3.28,
|
| 1786 |
+
"learning_rate": 1.0067340067340068e-05,
|
| 1787 |
+
"loss": 0.7762,
|
| 1788 |
+
"step": 14450
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 3.3,
|
| 1792 |
+
"learning_rate": 1.0025252525252526e-05,
|
| 1793 |
+
"loss": 1.0523,
|
| 1794 |
+
"step": 14500
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 3.31,
|
| 1798 |
+
"learning_rate": 9.983164983164983e-06,
|
| 1799 |
+
"loss": 0.9758,
|
| 1800 |
+
"step": 14550
|
| 1801 |
+
},
|
| 1802 |
+
{
|
| 1803 |
+
"epoch": 3.32,
|
| 1804 |
+
"learning_rate": 9.941077441077443e-06,
|
| 1805 |
+
"loss": 0.9659,
|
| 1806 |
+
"step": 14600
|
| 1807 |
+
},
|
| 1808 |
+
{
|
| 1809 |
+
"epoch": 3.33,
|
| 1810 |
+
"learning_rate": 9.8989898989899e-06,
|
| 1811 |
+
"loss": 0.9322,
|
| 1812 |
+
"step": 14650
|
| 1813 |
+
},
|
| 1814 |
+
{
|
| 1815 |
+
"epoch": 3.34,
|
| 1816 |
+
"learning_rate": 9.856902356902358e-06,
|
| 1817 |
+
"loss": 1.2675,
|
| 1818 |
+
"step": 14700
|
| 1819 |
+
},
|
| 1820 |
+
{
|
| 1821 |
+
"epoch": 3.35,
|
| 1822 |
+
"learning_rate": 9.814814814814815e-06,
|
| 1823 |
+
"loss": 0.8249,
|
| 1824 |
+
"step": 14750
|
| 1825 |
+
},
|
| 1826 |
+
{
|
| 1827 |
+
"epoch": 3.36,
|
| 1828 |
+
"learning_rate": 9.772727272727273e-06,
|
| 1829 |
+
"loss": 0.8631,
|
| 1830 |
+
"step": 14800
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 3.38,
|
| 1834 |
+
"learning_rate": 9.730639730639732e-06,
|
| 1835 |
+
"loss": 0.8615,
|
| 1836 |
+
"step": 14850
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 3.39,
|
| 1840 |
+
"learning_rate": 9.68855218855219e-06,
|
| 1841 |
+
"loss": 0.7974,
|
| 1842 |
+
"step": 14900
|
| 1843 |
+
},
|
| 1844 |
+
{
|
| 1845 |
+
"epoch": 3.4,
|
| 1846 |
+
"learning_rate": 9.646464646464647e-06,
|
| 1847 |
+
"loss": 0.9356,
|
| 1848 |
+
"step": 14950
|
| 1849 |
+
},
|
| 1850 |
+
{
|
| 1851 |
+
"epoch": 3.41,
|
| 1852 |
+
"learning_rate": 9.604377104377105e-06,
|
| 1853 |
+
"loss": 0.7728,
|
| 1854 |
+
"step": 15000
|
| 1855 |
+
},
|
| 1856 |
+
{
|
| 1857 |
+
"epoch": 3.41,
|
| 1858 |
+
"eval_loss": 0.818789005279541,
|
| 1859 |
+
"eval_runtime": 11.5575,
|
| 1860 |
+
"eval_samples_per_second": 122.864,
|
| 1861 |
+
"eval_steps_per_second": 7.701,
|
| 1862 |
+
"eval_wer": 0.5184714532086775,
|
| 1863 |
+
"step": 15000
|
| 1864 |
+
},
|
| 1865 |
+
{
|
| 1866 |
+
"epoch": 3.42,
|
| 1867 |
+
"learning_rate": 9.562289562289562e-06,
|
| 1868 |
+
"loss": 0.8074,
|
| 1869 |
+
"step": 15050
|
| 1870 |
+
},
|
| 1871 |
+
{
|
| 1872 |
+
"epoch": 3.43,
|
| 1873 |
+
"learning_rate": 9.52020202020202e-06,
|
| 1874 |
+
"loss": 0.7998,
|
| 1875 |
+
"step": 15100
|
| 1876 |
+
},
|
| 1877 |
+
{
|
| 1878 |
+
"epoch": 3.44,
|
| 1879 |
+
"learning_rate": 9.47811447811448e-06,
|
| 1880 |
+
"loss": 1.3138,
|
| 1881 |
+
"step": 15150
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 3.45,
|
| 1885 |
+
"learning_rate": 9.436026936026937e-06,
|
| 1886 |
+
"loss": 0.788,
|
| 1887 |
+
"step": 15200
|
| 1888 |
+
},
|
| 1889 |
+
{
|
| 1890 |
+
"epoch": 3.47,
|
| 1891 |
+
"learning_rate": 9.393939393939396e-06,
|
| 1892 |
+
"loss": 1.1104,
|
| 1893 |
+
"step": 15250
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 3.48,
|
| 1897 |
+
"learning_rate": 9.351851851851854e-06,
|
| 1898 |
+
"loss": 0.8238,
|
| 1899 |
+
"step": 15300
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 3.49,
|
| 1903 |
+
"learning_rate": 9.309764309764311e-06,
|
| 1904 |
+
"loss": 0.9569,
|
| 1905 |
+
"step": 15350
|
| 1906 |
+
},
|
| 1907 |
+
{
|
| 1908 |
+
"epoch": 3.5,
|
| 1909 |
+
"learning_rate": 9.267676767676769e-06,
|
| 1910 |
+
"loss": 0.9507,
|
| 1911 |
+
"step": 15400
|
| 1912 |
+
},
|
| 1913 |
+
{
|
| 1914 |
+
"epoch": 3.51,
|
| 1915 |
+
"learning_rate": 9.225589225589226e-06,
|
| 1916 |
+
"loss": 0.8989,
|
| 1917 |
+
"step": 15450
|
| 1918 |
+
},
|
| 1919 |
+
{
|
| 1920 |
+
"epoch": 3.52,
|
| 1921 |
+
"learning_rate": 9.183501683501684e-06,
|
| 1922 |
+
"loss": 0.8032,
|
| 1923 |
+
"step": 15500
|
| 1924 |
+
},
|
| 1925 |
+
{
|
| 1926 |
+
"epoch": 3.53,
|
| 1927 |
+
"learning_rate": 9.141414141414143e-06,
|
| 1928 |
+
"loss": 0.7944,
|
| 1929 |
+
"step": 15550
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 3.55,
|
| 1933 |
+
"learning_rate": 9.0993265993266e-06,
|
| 1934 |
+
"loss": 0.7758,
|
| 1935 |
+
"step": 15600
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 3.56,
|
| 1939 |
+
"learning_rate": 9.057239057239058e-06,
|
| 1940 |
+
"loss": 0.8787,
|
| 1941 |
+
"step": 15650
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 3.57,
|
| 1945 |
+
"learning_rate": 9.015151515151516e-06,
|
| 1946 |
+
"loss": 0.8037,
|
| 1947 |
+
"step": 15700
|
| 1948 |
+
},
|
| 1949 |
+
{
|
| 1950 |
+
"epoch": 3.58,
|
| 1951 |
+
"learning_rate": 8.973063973063973e-06,
|
| 1952 |
+
"loss": 0.7973,
|
| 1953 |
+
"step": 15750
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"epoch": 3.59,
|
| 1957 |
+
"learning_rate": 8.93097643097643e-06,
|
| 1958 |
+
"loss": 0.764,
|
| 1959 |
+
"step": 15800
|
| 1960 |
+
},
|
| 1961 |
+
{
|
| 1962 |
+
"epoch": 3.6,
|
| 1963 |
+
"learning_rate": 8.888888888888888e-06,
|
| 1964 |
+
"loss": 1.2857,
|
| 1965 |
+
"step": 15850
|
| 1966 |
+
},
|
| 1967 |
+
{
|
| 1968 |
+
"epoch": 3.61,
|
| 1969 |
+
"learning_rate": 8.846801346801348e-06,
|
| 1970 |
+
"loss": 0.8322,
|
| 1971 |
+
"step": 15900
|
| 1972 |
+
},
|
| 1973 |
+
{
|
| 1974 |
+
"epoch": 3.62,
|
| 1975 |
+
"learning_rate": 8.804713804713805e-06,
|
| 1976 |
+
"loss": 0.9887,
|
| 1977 |
+
"step": 15950
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 3.64,
|
| 1981 |
+
"learning_rate": 8.762626262626264e-06,
|
| 1982 |
+
"loss": 0.8534,
|
| 1983 |
+
"step": 16000
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 3.65,
|
| 1987 |
+
"learning_rate": 8.720538720538722e-06,
|
| 1988 |
+
"loss": 1.2425,
|
| 1989 |
+
"step": 16050
|
| 1990 |
+
},
|
| 1991 |
+
{
|
| 1992 |
+
"epoch": 3.66,
|
| 1993 |
+
"learning_rate": 8.67845117845118e-06,
|
| 1994 |
+
"loss": 1.0104,
|
| 1995 |
+
"step": 16100
|
| 1996 |
+
},
|
| 1997 |
+
{
|
| 1998 |
+
"epoch": 3.67,
|
| 1999 |
+
"learning_rate": 8.636363636363637e-06,
|
| 2000 |
+
"loss": 0.7788,
|
| 2001 |
+
"step": 16150
|
| 2002 |
+
},
|
| 2003 |
+
{
|
| 2004 |
+
"epoch": 3.68,
|
| 2005 |
+
"learning_rate": 8.594276094276095e-06,
|
| 2006 |
+
"loss": 0.7986,
|
| 2007 |
+
"step": 16200
|
| 2008 |
+
},
|
| 2009 |
+
{
|
| 2010 |
+
"epoch": 3.69,
|
| 2011 |
+
"learning_rate": 8.552188552188552e-06,
|
| 2012 |
+
"loss": 0.7569,
|
| 2013 |
+
"step": 16250
|
| 2014 |
+
},
|
| 2015 |
+
{
|
| 2016 |
+
"epoch": 3.7,
|
| 2017 |
+
"learning_rate": 8.510101010101011e-06,
|
| 2018 |
+
"loss": 0.9866,
|
| 2019 |
+
"step": 16300
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 3.72,
|
| 2023 |
+
"learning_rate": 8.468013468013469e-06,
|
| 2024 |
+
"loss": 1.02,
|
| 2025 |
+
"step": 16350
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 3.73,
|
| 2029 |
+
"learning_rate": 8.425925925925926e-06,
|
| 2030 |
+
"loss": 0.7364,
|
| 2031 |
+
"step": 16400
|
| 2032 |
+
},
|
| 2033 |
+
{
|
| 2034 |
+
"epoch": 3.74,
|
| 2035 |
+
"learning_rate": 8.383838383838384e-06,
|
| 2036 |
+
"loss": 0.7741,
|
| 2037 |
+
"step": 16450
|
| 2038 |
+
},
|
| 2039 |
+
{
|
| 2040 |
+
"epoch": 3.75,
|
| 2041 |
+
"learning_rate": 8.341750841750842e-06,
|
| 2042 |
+
"loss": 0.9328,
|
| 2043 |
+
"step": 16500
|
| 2044 |
+
},
|
| 2045 |
+
{
|
| 2046 |
+
"epoch": 3.76,
|
| 2047 |
+
"learning_rate": 8.2996632996633e-06,
|
| 2048 |
+
"loss": 0.7985,
|
| 2049 |
+
"step": 16550
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"epoch": 3.77,
|
| 2053 |
+
"learning_rate": 8.257575757575758e-06,
|
| 2054 |
+
"loss": 0.9203,
|
| 2055 |
+
"step": 16600
|
| 2056 |
+
},
|
| 2057 |
+
{
|
| 2058 |
+
"epoch": 3.78,
|
| 2059 |
+
"learning_rate": 8.215488215488216e-06,
|
| 2060 |
+
"loss": 0.8495,
|
| 2061 |
+
"step": 16650
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 3.8,
|
| 2065 |
+
"learning_rate": 8.173400673400675e-06,
|
| 2066 |
+
"loss": 0.9314,
|
| 2067 |
+
"step": 16700
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 3.81,
|
| 2071 |
+
"learning_rate": 8.131313131313133e-06,
|
| 2072 |
+
"loss": 0.8138,
|
| 2073 |
+
"step": 16750
|
| 2074 |
+
},
|
| 2075 |
+
{
|
| 2076 |
+
"epoch": 3.82,
|
| 2077 |
+
"learning_rate": 8.09006734006734e-06,
|
| 2078 |
+
"loss": 1.0835,
|
| 2079 |
+
"step": 16800
|
| 2080 |
+
},
|
| 2081 |
+
{
|
| 2082 |
+
"epoch": 3.83,
|
| 2083 |
+
"learning_rate": 8.0479797979798e-06,
|
| 2084 |
+
"loss": 0.775,
|
| 2085 |
+
"step": 16850
|
| 2086 |
+
},
|
| 2087 |
+
{
|
| 2088 |
+
"epoch": 3.84,
|
| 2089 |
+
"learning_rate": 8.005892255892257e-06,
|
| 2090 |
+
"loss": 0.8199,
|
| 2091 |
+
"step": 16900
|
| 2092 |
+
},
|
| 2093 |
+
{
|
| 2094 |
+
"epoch": 3.85,
|
| 2095 |
+
"learning_rate": 7.963804713804715e-06,
|
| 2096 |
+
"loss": 0.846,
|
| 2097 |
+
"step": 16950
|
| 2098 |
+
},
|
| 2099 |
+
{
|
| 2100 |
+
"epoch": 3.86,
|
| 2101 |
+
"learning_rate": 7.921717171717172e-06,
|
| 2102 |
+
"loss": 1.1557,
|
| 2103 |
+
"step": 17000
|
| 2104 |
+
},
|
| 2105 |
+
{
|
| 2106 |
+
"epoch": 3.88,
|
| 2107 |
+
"learning_rate": 7.87962962962963e-06,
|
| 2108 |
+
"loss": 0.872,
|
| 2109 |
+
"step": 17050
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 3.89,
|
| 2113 |
+
"learning_rate": 7.837542087542089e-06,
|
| 2114 |
+
"loss": 0.7823,
|
| 2115 |
+
"step": 17100
|
| 2116 |
+
},
|
| 2117 |
+
{
|
| 2118 |
+
"epoch": 3.9,
|
| 2119 |
+
"learning_rate": 7.795454545454547e-06,
|
| 2120 |
+
"loss": 0.8558,
|
| 2121 |
+
"step": 17150
|
| 2122 |
+
},
|
| 2123 |
+
{
|
| 2124 |
+
"epoch": 3.91,
|
| 2125 |
+
"learning_rate": 7.753367003367004e-06,
|
| 2126 |
+
"loss": 0.7936,
|
| 2127 |
+
"step": 17200
|
| 2128 |
+
},
|
| 2129 |
+
{
|
| 2130 |
+
"epoch": 3.92,
|
| 2131 |
+
"learning_rate": 7.711279461279462e-06,
|
| 2132 |
+
"loss": 0.8159,
|
| 2133 |
+
"step": 17250
|
| 2134 |
+
},
|
| 2135 |
+
{
|
| 2136 |
+
"epoch": 3.93,
|
| 2137 |
+
"learning_rate": 7.66919191919192e-06,
|
| 2138 |
+
"loss": 0.7948,
|
| 2139 |
+
"step": 17300
|
| 2140 |
+
},
|
| 2141 |
+
{
|
| 2142 |
+
"epoch": 3.94,
|
| 2143 |
+
"learning_rate": 7.627104377104378e-06,
|
| 2144 |
+
"loss": 1.0692,
|
| 2145 |
+
"step": 17350
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"epoch": 3.95,
|
| 2149 |
+
"learning_rate": 7.585016835016835e-06,
|
| 2150 |
+
"loss": 0.7547,
|
| 2151 |
+
"step": 17400
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 3.97,
|
| 2155 |
+
"learning_rate": 7.5429292929292944e-06,
|
| 2156 |
+
"loss": 0.9151,
|
| 2157 |
+
"step": 17450
|
| 2158 |
+
},
|
| 2159 |
+
{
|
| 2160 |
+
"epoch": 3.98,
|
| 2161 |
+
"learning_rate": 7.500841750841752e-06,
|
| 2162 |
+
"loss": 1.0428,
|
| 2163 |
+
"step": 17500
|
| 2164 |
+
},
|
| 2165 |
+
{
|
| 2166 |
+
"epoch": 3.98,
|
| 2167 |
+
"eval_loss": 0.7845020294189453,
|
| 2168 |
+
"eval_runtime": 11.3056,
|
| 2169 |
+
"eval_samples_per_second": 125.601,
|
| 2170 |
+
"eval_steps_per_second": 7.872,
|
| 2171 |
+
"eval_wer": 0.49614232549695925,
|
| 2172 |
+
"step": 17500
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 3.99,
|
| 2176 |
+
"learning_rate": 7.4587542087542095e-06,
|
| 2177 |
+
"loss": 0.8456,
|
| 2178 |
+
"step": 17550
|
| 2179 |
+
},
|
| 2180 |
+
{
|
| 2181 |
+
"epoch": 4.0,
|
| 2182 |
+
"learning_rate": 7.416666666666668e-06,
|
| 2183 |
+
"loss": 0.916,
|
| 2184 |
+
"step": 17600
|
| 2185 |
+
},
|
| 2186 |
+
{
|
| 2187 |
+
"epoch": 4.01,
|
| 2188 |
+
"learning_rate": 7.3745791245791255e-06,
|
| 2189 |
+
"loss": 0.788,
|
| 2190 |
+
"step": 17650
|
| 2191 |
+
},
|
| 2192 |
+
{
|
| 2193 |
+
"epoch": 4.02,
|
| 2194 |
+
"learning_rate": 7.332491582491583e-06,
|
| 2195 |
+
"loss": 0.7842,
|
| 2196 |
+
"step": 17700
|
| 2197 |
+
},
|
| 2198 |
+
{
|
| 2199 |
+
"epoch": 4.03,
|
| 2200 |
+
"learning_rate": 7.2904040404040414e-06,
|
| 2201 |
+
"loss": 0.8374,
|
| 2202 |
+
"step": 17750
|
| 2203 |
+
},
|
| 2204 |
+
{
|
| 2205 |
+
"epoch": 4.05,
|
| 2206 |
+
"learning_rate": 7.248316498316499e-06,
|
| 2207 |
+
"loss": 0.8018,
|
| 2208 |
+
"step": 17800
|
| 2209 |
+
},
|
| 2210 |
+
{
|
| 2211 |
+
"epoch": 4.06,
|
| 2212 |
+
"learning_rate": 7.2062289562289565e-06,
|
| 2213 |
+
"loss": 0.8225,
|
| 2214 |
+
"step": 17850
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"epoch": 4.07,
|
| 2218 |
+
"learning_rate": 7.164141414141414e-06,
|
| 2219 |
+
"loss": 0.7431,
|
| 2220 |
+
"step": 17900
|
| 2221 |
+
},
|
| 2222 |
+
{
|
| 2223 |
+
"epoch": 4.08,
|
| 2224 |
+
"learning_rate": 7.1220538720538725e-06,
|
| 2225 |
+
"loss": 0.7692,
|
| 2226 |
+
"step": 17950
|
| 2227 |
+
},
|
| 2228 |
+
{
|
| 2229 |
+
"epoch": 4.09,
|
| 2230 |
+
"learning_rate": 7.07996632996633e-06,
|
| 2231 |
+
"loss": 0.8149,
|
| 2232 |
+
"step": 18000
|
| 2233 |
+
},
|
| 2234 |
+
{
|
| 2235 |
+
"epoch": 4.1,
|
| 2236 |
+
"learning_rate": 7.037878787878788e-06,
|
| 2237 |
+
"loss": 0.7791,
|
| 2238 |
+
"step": 18050
|
| 2239 |
+
},
|
| 2240 |
+
{
|
| 2241 |
+
"epoch": 4.11,
|
| 2242 |
+
"learning_rate": 6.995791245791247e-06,
|
| 2243 |
+
"loss": 0.9355,
|
| 2244 |
+
"step": 18100
|
| 2245 |
+
},
|
| 2246 |
+
{
|
| 2247 |
+
"epoch": 4.12,
|
| 2248 |
+
"learning_rate": 6.953703703703704e-06,
|
| 2249 |
+
"loss": 0.7711,
|
| 2250 |
+
"step": 18150
|
| 2251 |
+
},
|
| 2252 |
+
{
|
| 2253 |
+
"epoch": 4.14,
|
| 2254 |
+
"learning_rate": 6.911616161616163e-06,
|
| 2255 |
+
"loss": 0.8754,
|
| 2256 |
+
"step": 18200
|
| 2257 |
+
},
|
| 2258 |
+
{
|
| 2259 |
+
"epoch": 4.15,
|
| 2260 |
+
"learning_rate": 6.86952861952862e-06,
|
| 2261 |
+
"loss": 1.2472,
|
| 2262 |
+
"step": 18250
|
| 2263 |
+
},
|
| 2264 |
+
{
|
| 2265 |
+
"epoch": 4.16,
|
| 2266 |
+
"learning_rate": 6.827441077441078e-06,
|
| 2267 |
+
"loss": 0.8299,
|
| 2268 |
+
"step": 18300
|
| 2269 |
+
},
|
| 2270 |
+
{
|
| 2271 |
+
"epoch": 4.17,
|
| 2272 |
+
"learning_rate": 6.785353535353536e-06,
|
| 2273 |
+
"loss": 0.8129,
|
| 2274 |
+
"step": 18350
|
| 2275 |
+
},
|
| 2276 |
+
{
|
| 2277 |
+
"epoch": 4.18,
|
| 2278 |
+
"learning_rate": 6.743265993265994e-06,
|
| 2279 |
+
"loss": 0.9362,
|
| 2280 |
+
"step": 18400
|
| 2281 |
+
},
|
| 2282 |
+
{
|
| 2283 |
+
"epoch": 4.19,
|
| 2284 |
+
"learning_rate": 6.701178451178451e-06,
|
| 2285 |
+
"loss": 1.011,
|
| 2286 |
+
"step": 18450
|
| 2287 |
+
},
|
| 2288 |
+
{
|
| 2289 |
+
"epoch": 4.2,
|
| 2290 |
+
"learning_rate": 6.65909090909091e-06,
|
| 2291 |
+
"loss": 0.9124,
|
| 2292 |
+
"step": 18500
|
| 2293 |
+
},
|
| 2294 |
+
{
|
| 2295 |
+
"epoch": 4.22,
|
| 2296 |
+
"learning_rate": 6.617003367003367e-06,
|
| 2297 |
+
"loss": 0.7725,
|
| 2298 |
+
"step": 18550
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 4.23,
|
| 2302 |
+
"learning_rate": 6.574915824915825e-06,
|
| 2303 |
+
"loss": 0.9075,
|
| 2304 |
+
"step": 18600
|
| 2305 |
+
},
|
| 2306 |
+
{
|
| 2307 |
+
"epoch": 4.24,
|
| 2308 |
+
"learning_rate": 6.532828282828283e-06,
|
| 2309 |
+
"loss": 0.8239,
|
| 2310 |
+
"step": 18650
|
| 2311 |
+
},
|
| 2312 |
+
{
|
| 2313 |
+
"epoch": 4.25,
|
| 2314 |
+
"learning_rate": 6.490740740740741e-06,
|
| 2315 |
+
"loss": 0.7452,
|
| 2316 |
+
"step": 18700
|
| 2317 |
+
},
|
| 2318 |
+
{
|
| 2319 |
+
"epoch": 4.26,
|
| 2320 |
+
"learning_rate": 6.4486531986532e-06,
|
| 2321 |
+
"loss": 0.913,
|
| 2322 |
+
"step": 18750
|
| 2323 |
+
},
|
| 2324 |
+
{
|
| 2325 |
+
"epoch": 4.27,
|
| 2326 |
+
"learning_rate": 6.406565656565658e-06,
|
| 2327 |
+
"loss": 0.9128,
|
| 2328 |
+
"step": 18800
|
| 2329 |
+
},
|
| 2330 |
+
{
|
| 2331 |
+
"epoch": 4.28,
|
| 2332 |
+
"learning_rate": 6.364478114478115e-06,
|
| 2333 |
+
"loss": 0.8531,
|
| 2334 |
+
"step": 18850
|
| 2335 |
+
},
|
| 2336 |
+
{
|
| 2337 |
+
"epoch": 4.3,
|
| 2338 |
+
"learning_rate": 6.322390572390574e-06,
|
| 2339 |
+
"loss": 0.752,
|
| 2340 |
+
"step": 18900
|
| 2341 |
+
},
|
| 2342 |
+
{
|
| 2343 |
+
"epoch": 4.31,
|
| 2344 |
+
"learning_rate": 6.280303030303031e-06,
|
| 2345 |
+
"loss": 0.7641,
|
| 2346 |
+
"step": 18950
|
| 2347 |
+
},
|
| 2348 |
+
{
|
| 2349 |
+
"epoch": 4.32,
|
| 2350 |
+
"learning_rate": 6.238215488215489e-06,
|
| 2351 |
+
"loss": 0.8924,
|
| 2352 |
+
"step": 19000
|
| 2353 |
+
},
|
| 2354 |
+
{
|
| 2355 |
+
"epoch": 4.33,
|
| 2356 |
+
"learning_rate": 6.196127946127946e-06,
|
| 2357 |
+
"loss": 0.7733,
|
| 2358 |
+
"step": 19050
|
| 2359 |
+
},
|
| 2360 |
+
{
|
| 2361 |
+
"epoch": 4.34,
|
| 2362 |
+
"learning_rate": 6.154040404040405e-06,
|
| 2363 |
+
"loss": 0.7289,
|
| 2364 |
+
"step": 19100
|
| 2365 |
+
},
|
| 2366 |
+
{
|
| 2367 |
+
"epoch": 4.35,
|
| 2368 |
+
"learning_rate": 6.111952861952862e-06,
|
| 2369 |
+
"loss": 0.9658,
|
| 2370 |
+
"step": 19150
|
| 2371 |
+
},
|
| 2372 |
+
{
|
| 2373 |
+
"epoch": 4.36,
|
| 2374 |
+
"learning_rate": 6.06986531986532e-06,
|
| 2375 |
+
"loss": 0.7604,
|
| 2376 |
+
"step": 19200
|
| 2377 |
+
},
|
| 2378 |
+
{
|
| 2379 |
+
"epoch": 4.38,
|
| 2380 |
+
"learning_rate": 6.027777777777778e-06,
|
| 2381 |
+
"loss": 0.9021,
|
| 2382 |
+
"step": 19250
|
| 2383 |
+
},
|
| 2384 |
+
{
|
| 2385 |
+
"epoch": 4.39,
|
| 2386 |
+
"learning_rate": 5.985690235690236e-06,
|
| 2387 |
+
"loss": 0.8838,
|
| 2388 |
+
"step": 19300
|
| 2389 |
+
},
|
| 2390 |
+
{
|
| 2391 |
+
"epoch": 4.4,
|
| 2392 |
+
"learning_rate": 5.943602693602693e-06,
|
| 2393 |
+
"loss": 0.7497,
|
| 2394 |
+
"step": 19350
|
| 2395 |
+
},
|
| 2396 |
+
{
|
| 2397 |
+
"epoch": 4.41,
|
| 2398 |
+
"learning_rate": 5.9015151515151525e-06,
|
| 2399 |
+
"loss": 0.7883,
|
| 2400 |
+
"step": 19400
|
| 2401 |
+
},
|
| 2402 |
+
{
|
| 2403 |
+
"epoch": 4.42,
|
| 2404 |
+
"learning_rate": 5.85942760942761e-06,
|
| 2405 |
+
"loss": 0.7691,
|
| 2406 |
+
"step": 19450
|
| 2407 |
+
},
|
| 2408 |
+
{
|
| 2409 |
+
"epoch": 4.43,
|
| 2410 |
+
"learning_rate": 5.8173400673400684e-06,
|
| 2411 |
+
"loss": 0.7728,
|
| 2412 |
+
"step": 19500
|
| 2413 |
+
},
|
| 2414 |
+
{
|
| 2415 |
+
"epoch": 4.44,
|
| 2416 |
+
"learning_rate": 5.775252525252526e-06,
|
| 2417 |
+
"loss": 0.7791,
|
| 2418 |
+
"step": 19550
|
| 2419 |
+
},
|
| 2420 |
+
{
|
| 2421 |
+
"epoch": 4.45,
|
| 2422 |
+
"learning_rate": 5.7331649831649835e-06,
|
| 2423 |
+
"loss": 1.0584,
|
| 2424 |
+
"step": 19600
|
| 2425 |
+
},
|
| 2426 |
+
{
|
| 2427 |
+
"epoch": 4.47,
|
| 2428 |
+
"learning_rate": 5.691077441077442e-06,
|
| 2429 |
+
"loss": 0.7486,
|
| 2430 |
+
"step": 19650
|
| 2431 |
+
},
|
| 2432 |
+
{
|
| 2433 |
+
"epoch": 4.48,
|
| 2434 |
+
"learning_rate": 5.6489898989898995e-06,
|
| 2435 |
+
"loss": 0.7224,
|
| 2436 |
+
"step": 19700
|
| 2437 |
+
},
|
| 2438 |
+
{
|
| 2439 |
+
"epoch": 4.49,
|
| 2440 |
+
"learning_rate": 5.606902356902357e-06,
|
| 2441 |
+
"loss": 0.7918,
|
| 2442 |
+
"step": 19750
|
| 2443 |
+
},
|
| 2444 |
+
{
|
| 2445 |
+
"epoch": 4.5,
|
| 2446 |
+
"learning_rate": 5.5648148148148154e-06,
|
| 2447 |
+
"loss": 0.7414,
|
| 2448 |
+
"step": 19800
|
| 2449 |
+
},
|
| 2450 |
+
{
|
| 2451 |
+
"epoch": 4.51,
|
| 2452 |
+
"learning_rate": 5.522727272727273e-06,
|
| 2453 |
+
"loss": 0.7344,
|
| 2454 |
+
"step": 19850
|
| 2455 |
+
},
|
| 2456 |
+
{
|
| 2457 |
+
"epoch": 4.52,
|
| 2458 |
+
"learning_rate": 5.4806397306397305e-06,
|
| 2459 |
+
"loss": 0.8429,
|
| 2460 |
+
"step": 19900
|
| 2461 |
+
},
|
| 2462 |
+
{
|
| 2463 |
+
"epoch": 4.53,
|
| 2464 |
+
"learning_rate": 5.438552188552189e-06,
|
| 2465 |
+
"loss": 0.7469,
|
| 2466 |
+
"step": 19950
|
| 2467 |
+
},
|
| 2468 |
+
{
|
| 2469 |
+
"epoch": 4.55,
|
| 2470 |
+
"learning_rate": 5.3964646464646465e-06,
|
| 2471 |
+
"loss": 0.8995,
|
| 2472 |
+
"step": 20000
|
| 2473 |
+
},
|
| 2474 |
+
{
|
| 2475 |
+
"epoch": 4.55,
|
| 2476 |
+
"eval_loss": 0.7845963835716248,
|
| 2477 |
+
"eval_runtime": 11.6887,
|
| 2478 |
+
"eval_samples_per_second": 121.485,
|
| 2479 |
+
"eval_steps_per_second": 7.614,
|
| 2480 |
+
"eval_wer": 0.48842697649087774,
|
| 2481 |
+
"step": 20000
|
| 2482 |
+
},
|
| 2483 |
+
{
|
| 2484 |
+
"epoch": 4.56,
|
| 2485 |
+
"learning_rate": 5.354377104377106e-06,
|
| 2486 |
+
"loss": 0.8411,
|
| 2487 |
+
"step": 20050
|
| 2488 |
+
},
|
| 2489 |
+
{
|
| 2490 |
+
"epoch": 4.57,
|
| 2491 |
+
"learning_rate": 5.312289562289563e-06,
|
| 2492 |
+
"loss": 0.8626,
|
| 2493 |
+
"step": 20100
|
| 2494 |
+
},
|
| 2495 |
+
{
|
| 2496 |
+
"epoch": 4.58,
|
| 2497 |
+
"learning_rate": 5.270202020202021e-06,
|
| 2498 |
+
"loss": 1.0514,
|
| 2499 |
+
"step": 20150
|
| 2500 |
+
},
|
| 2501 |
+
{
|
| 2502 |
+
"epoch": 4.59,
|
| 2503 |
+
"learning_rate": 5.228114478114479e-06,
|
| 2504 |
+
"loss": 0.918,
|
| 2505 |
+
"step": 20200
|
| 2506 |
+
},
|
| 2507 |
+
{
|
| 2508 |
+
"epoch": 4.6,
|
| 2509 |
+
"learning_rate": 5.186026936026937e-06,
|
| 2510 |
+
"loss": 0.7164,
|
| 2511 |
+
"step": 20250
|
| 2512 |
+
},
|
| 2513 |
+
{
|
| 2514 |
+
"epoch": 4.61,
|
| 2515 |
+
"learning_rate": 5.143939393939394e-06,
|
| 2516 |
+
"loss": 1.0144,
|
| 2517 |
+
"step": 20300
|
| 2518 |
+
},
|
| 2519 |
+
{
|
| 2520 |
+
"epoch": 4.62,
|
| 2521 |
+
"learning_rate": 5.101851851851852e-06,
|
| 2522 |
+
"loss": 0.7554,
|
| 2523 |
+
"step": 20350
|
| 2524 |
+
},
|
| 2525 |
+
{
|
| 2526 |
+
"epoch": 4.64,
|
| 2527 |
+
"learning_rate": 5.05976430976431e-06,
|
| 2528 |
+
"loss": 0.807,
|
| 2529 |
+
"step": 20400
|
| 2530 |
+
},
|
| 2531 |
+
{
|
| 2532 |
+
"epoch": 4.65,
|
| 2533 |
+
"learning_rate": 5.017676767676768e-06,
|
| 2534 |
+
"loss": 0.6884,
|
| 2535 |
+
"step": 20450
|
| 2536 |
+
},
|
| 2537 |
+
{
|
| 2538 |
+
"epoch": 4.66,
|
| 2539 |
+
"learning_rate": 4.975589225589225e-06,
|
| 2540 |
+
"loss": 0.8717,
|
| 2541 |
+
"step": 20500
|
| 2542 |
+
},
|
| 2543 |
+
{
|
| 2544 |
+
"epoch": 4.67,
|
| 2545 |
+
"learning_rate": 4.933501683501684e-06,
|
| 2546 |
+
"loss": 0.9402,
|
| 2547 |
+
"step": 20550
|
| 2548 |
+
},
|
| 2549 |
+
{
|
| 2550 |
+
"epoch": 4.68,
|
| 2551 |
+
"learning_rate": 4.891414141414142e-06,
|
| 2552 |
+
"loss": 0.7554,
|
| 2553 |
+
"step": 20600
|
| 2554 |
+
},
|
| 2555 |
+
{
|
| 2556 |
+
"epoch": 4.69,
|
| 2557 |
+
"learning_rate": 4.8493265993266e-06,
|
| 2558 |
+
"loss": 0.7661,
|
| 2559 |
+
"step": 20650
|
| 2560 |
+
},
|
| 2561 |
+
{
|
| 2562 |
+
"epoch": 4.7,
|
| 2563 |
+
"learning_rate": 4.807239057239057e-06,
|
| 2564 |
+
"loss": 0.7203,
|
| 2565 |
+
"step": 20700
|
| 2566 |
+
},
|
| 2567 |
+
{
|
| 2568 |
+
"epoch": 4.72,
|
| 2569 |
+
"learning_rate": 4.765151515151516e-06,
|
| 2570 |
+
"loss": 0.8046,
|
| 2571 |
+
"step": 20750
|
| 2572 |
+
},
|
| 2573 |
+
{
|
| 2574 |
+
"epoch": 4.73,
|
| 2575 |
+
"learning_rate": 4.723063973063973e-06,
|
| 2576 |
+
"loss": 0.7908,
|
| 2577 |
+
"step": 20800
|
| 2578 |
+
},
|
| 2579 |
+
{
|
| 2580 |
+
"epoch": 4.74,
|
| 2581 |
+
"learning_rate": 4.680976430976432e-06,
|
| 2582 |
+
"loss": 0.7247,
|
| 2583 |
+
"step": 20850
|
| 2584 |
+
},
|
| 2585 |
+
{
|
| 2586 |
+
"epoch": 4.75,
|
| 2587 |
+
"learning_rate": 4.638888888888889e-06,
|
| 2588 |
+
"loss": 0.8461,
|
| 2589 |
+
"step": 20900
|
| 2590 |
+
},
|
| 2591 |
+
{
|
| 2592 |
+
"epoch": 4.76,
|
| 2593 |
+
"learning_rate": 4.596801346801348e-06,
|
| 2594 |
+
"loss": 0.898,
|
| 2595 |
+
"step": 20950
|
| 2596 |
+
},
|
| 2597 |
+
{
|
| 2598 |
+
"epoch": 4.77,
|
| 2599 |
+
"learning_rate": 4.554713804713805e-06,
|
| 2600 |
+
"loss": 0.8022,
|
| 2601 |
+
"step": 21000
|
| 2602 |
+
},
|
| 2603 |
+
{
|
| 2604 |
+
"epoch": 4.78,
|
| 2605 |
+
"learning_rate": 4.512626262626263e-06,
|
| 2606 |
+
"loss": 0.8259,
|
| 2607 |
+
"step": 21050
|
| 2608 |
+
},
|
| 2609 |
+
{
|
| 2610 |
+
"epoch": 4.8,
|
| 2611 |
+
"learning_rate": 4.470538720538721e-06,
|
| 2612 |
+
"loss": 0.7305,
|
| 2613 |
+
"step": 21100
|
| 2614 |
+
},
|
| 2615 |
+
{
|
| 2616 |
+
"epoch": 4.81,
|
| 2617 |
+
"learning_rate": 4.428451178451179e-06,
|
| 2618 |
+
"loss": 0.7825,
|
| 2619 |
+
"step": 21150
|
| 2620 |
+
},
|
| 2621 |
+
{
|
| 2622 |
+
"epoch": 4.82,
|
| 2623 |
+
"learning_rate": 4.386363636363637e-06,
|
| 2624 |
+
"loss": 0.9047,
|
| 2625 |
+
"step": 21200
|
| 2626 |
+
},
|
| 2627 |
+
{
|
| 2628 |
+
"epoch": 4.83,
|
| 2629 |
+
"learning_rate": 4.344276094276095e-06,
|
| 2630 |
+
"loss": 0.7717,
|
| 2631 |
+
"step": 21250
|
| 2632 |
+
},
|
| 2633 |
+
{
|
| 2634 |
+
"epoch": 4.84,
|
| 2635 |
+
"learning_rate": 4.303030303030303e-06,
|
| 2636 |
+
"loss": 0.7306,
|
| 2637 |
+
"step": 21300
|
| 2638 |
+
},
|
| 2639 |
+
{
|
| 2640 |
+
"epoch": 4.85,
|
| 2641 |
+
"learning_rate": 4.2609427609427615e-06,
|
| 2642 |
+
"loss": 0.8822,
|
| 2643 |
+
"step": 21350
|
| 2644 |
+
},
|
| 2645 |
+
{
|
| 2646 |
+
"epoch": 4.86,
|
| 2647 |
+
"learning_rate": 4.218855218855219e-06,
|
| 2648 |
+
"loss": 0.7261,
|
| 2649 |
+
"step": 21400
|
| 2650 |
+
},
|
| 2651 |
+
{
|
| 2652 |
+
"epoch": 4.88,
|
| 2653 |
+
"learning_rate": 4.1767676767676774e-06,
|
| 2654 |
+
"loss": 0.7726,
|
| 2655 |
+
"step": 21450
|
| 2656 |
+
},
|
| 2657 |
+
{
|
| 2658 |
+
"epoch": 4.89,
|
| 2659 |
+
"learning_rate": 4.134680134680135e-06,
|
| 2660 |
+
"loss": 0.9221,
|
| 2661 |
+
"step": 21500
|
| 2662 |
+
},
|
| 2663 |
+
{
|
| 2664 |
+
"epoch": 4.9,
|
| 2665 |
+
"learning_rate": 4.092592592592593e-06,
|
| 2666 |
+
"loss": 0.7814,
|
| 2667 |
+
"step": 21550
|
| 2668 |
+
},
|
| 2669 |
+
{
|
| 2670 |
+
"epoch": 4.91,
|
| 2671 |
+
"learning_rate": 4.050505050505051e-06,
|
| 2672 |
+
"loss": 1.0285,
|
| 2673 |
+
"step": 21600
|
| 2674 |
+
},
|
| 2675 |
+
{
|
| 2676 |
+
"epoch": 4.92,
|
| 2677 |
+
"learning_rate": 4.0084175084175085e-06,
|
| 2678 |
+
"loss": 0.8387,
|
| 2679 |
+
"step": 21650
|
| 2680 |
+
},
|
| 2681 |
+
{
|
| 2682 |
+
"epoch": 4.93,
|
| 2683 |
+
"learning_rate": 3.967171717171717e-06,
|
| 2684 |
+
"loss": 1.3018,
|
| 2685 |
+
"step": 21700
|
| 2686 |
+
},
|
| 2687 |
+
{
|
| 2688 |
+
"epoch": 4.94,
|
| 2689 |
+
"learning_rate": 3.925084175084175e-06,
|
| 2690 |
+
"loss": 0.7864,
|
| 2691 |
+
"step": 21750
|
| 2692 |
+
},
|
| 2693 |
+
{
|
| 2694 |
+
"epoch": 4.95,
|
| 2695 |
+
"learning_rate": 3.882996632996634e-06,
|
| 2696 |
+
"loss": 0.7365,
|
| 2697 |
+
"step": 21800
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 4.97,
|
| 2701 |
+
"learning_rate": 3.840909090909091e-06,
|
| 2702 |
+
"loss": 1.0941,
|
| 2703 |
+
"step": 21850
|
| 2704 |
+
},
|
| 2705 |
+
{
|
| 2706 |
+
"epoch": 4.98,
|
| 2707 |
+
"learning_rate": 3.798821548821549e-06,
|
| 2708 |
+
"loss": 1.0584,
|
| 2709 |
+
"step": 21900
|
| 2710 |
+
},
|
| 2711 |
+
{
|
| 2712 |
+
"epoch": 4.99,
|
| 2713 |
+
"learning_rate": 3.756734006734007e-06,
|
| 2714 |
+
"loss": 0.7464,
|
| 2715 |
+
"step": 21950
|
| 2716 |
+
},
|
| 2717 |
+
{
|
| 2718 |
+
"epoch": 5.0,
|
| 2719 |
+
"learning_rate": 3.714646464646465e-06,
|
| 2720 |
+
"loss": 0.8112,
|
| 2721 |
+
"step": 22000
|
| 2722 |
+
},
|
| 2723 |
+
{
|
| 2724 |
+
"epoch": 5.01,
|
| 2725 |
+
"learning_rate": 3.6725589225589232e-06,
|
| 2726 |
+
"loss": 0.8351,
|
| 2727 |
+
"step": 22050
|
| 2728 |
+
},
|
| 2729 |
+
{
|
| 2730 |
+
"epoch": 5.02,
|
| 2731 |
+
"learning_rate": 3.6304713804713808e-06,
|
| 2732 |
+
"loss": 1.0219,
|
| 2733 |
+
"step": 22100
|
| 2734 |
+
},
|
| 2735 |
+
{
|
| 2736 |
+
"epoch": 5.03,
|
| 2737 |
+
"learning_rate": 3.5883838383838388e-06,
|
| 2738 |
+
"loss": 0.7192,
|
| 2739 |
+
"step": 22150
|
| 2740 |
+
},
|
| 2741 |
+
{
|
| 2742 |
+
"epoch": 5.05,
|
| 2743 |
+
"learning_rate": 3.5462962962962967e-06,
|
| 2744 |
+
"loss": 0.7386,
|
| 2745 |
+
"step": 22200
|
| 2746 |
+
},
|
| 2747 |
+
{
|
| 2748 |
+
"epoch": 5.06,
|
| 2749 |
+
"learning_rate": 3.5042087542087543e-06,
|
| 2750 |
+
"loss": 0.7482,
|
| 2751 |
+
"step": 22250
|
| 2752 |
+
},
|
| 2753 |
+
{
|
| 2754 |
+
"epoch": 5.07,
|
| 2755 |
+
"learning_rate": 3.4621212121212123e-06,
|
| 2756 |
+
"loss": 0.8197,
|
| 2757 |
+
"step": 22300
|
| 2758 |
+
},
|
| 2759 |
+
{
|
| 2760 |
+
"epoch": 5.08,
|
| 2761 |
+
"learning_rate": 3.4200336700336702e-06,
|
| 2762 |
+
"loss": 0.7464,
|
| 2763 |
+
"step": 22350
|
| 2764 |
+
},
|
| 2765 |
+
{
|
| 2766 |
+
"epoch": 5.09,
|
| 2767 |
+
"learning_rate": 3.3779461279461286e-06,
|
| 2768 |
+
"loss": 0.8665,
|
| 2769 |
+
"step": 22400
|
| 2770 |
+
},
|
| 2771 |
+
{
|
| 2772 |
+
"epoch": 5.1,
|
| 2773 |
+
"learning_rate": 3.335858585858586e-06,
|
| 2774 |
+
"loss": 0.8403,
|
| 2775 |
+
"step": 22450
|
| 2776 |
+
},
|
| 2777 |
+
{
|
| 2778 |
+
"epoch": 5.11,
|
| 2779 |
+
"learning_rate": 3.293771043771044e-06,
|
| 2780 |
+
"loss": 0.7284,
|
| 2781 |
+
"step": 22500
|
| 2782 |
+
},
|
| 2783 |
+
{
|
| 2784 |
+
"epoch": 5.11,
|
| 2785 |
+
"eval_loss": 0.7877032160758972,
|
| 2786 |
+
"eval_runtime": 13.7114,
|
| 2787 |
+
"eval_samples_per_second": 103.564,
|
| 2788 |
+
"eval_steps_per_second": 6.491,
|
| 2789 |
+
"eval_wer": 0.4866116002541527,
|
| 2790 |
+
"step": 22500
|
| 2791 |
+
},
|
| 2792 |
+
{
|
| 2793 |
+
"epoch": 5.12,
|
| 2794 |
+
"learning_rate": 3.2516835016835017e-06,
|
| 2795 |
+
"loss": 0.7678,
|
| 2796 |
+
"step": 22550
|
| 2797 |
+
},
|
| 2798 |
+
{
|
| 2799 |
+
"epoch": 5.14,
|
| 2800 |
+
"learning_rate": 3.2095959595959597e-06,
|
| 2801 |
+
"loss": 0.796,
|
| 2802 |
+
"step": 22600
|
| 2803 |
+
},
|
| 2804 |
+
{
|
| 2805 |
+
"epoch": 5.15,
|
| 2806 |
+
"learning_rate": 3.1675084175084177e-06,
|
| 2807 |
+
"loss": 0.748,
|
| 2808 |
+
"step": 22650
|
| 2809 |
+
},
|
| 2810 |
+
{
|
| 2811 |
+
"epoch": 5.16,
|
| 2812 |
+
"learning_rate": 3.125420875420876e-06,
|
| 2813 |
+
"loss": 0.7264,
|
| 2814 |
+
"step": 22700
|
| 2815 |
+
},
|
| 2816 |
+
{
|
| 2817 |
+
"epoch": 5.17,
|
| 2818 |
+
"learning_rate": 3.0833333333333336e-06,
|
| 2819 |
+
"loss": 0.7927,
|
| 2820 |
+
"step": 22750
|
| 2821 |
+
},
|
| 2822 |
+
{
|
| 2823 |
+
"epoch": 5.18,
|
| 2824 |
+
"learning_rate": 3.0412457912457916e-06,
|
| 2825 |
+
"loss": 0.7805,
|
| 2826 |
+
"step": 22800
|
| 2827 |
+
},
|
| 2828 |
+
{
|
| 2829 |
+
"epoch": 5.19,
|
| 2830 |
+
"learning_rate": 2.9991582491582495e-06,
|
| 2831 |
+
"loss": 0.7128,
|
| 2832 |
+
"step": 22850
|
| 2833 |
+
},
|
| 2834 |
+
{
|
| 2835 |
+
"epoch": 5.2,
|
| 2836 |
+
"learning_rate": 2.957070707070707e-06,
|
| 2837 |
+
"loss": 0.7237,
|
| 2838 |
+
"step": 22900
|
| 2839 |
+
},
|
| 2840 |
+
{
|
| 2841 |
+
"epoch": 5.22,
|
| 2842 |
+
"learning_rate": 2.914983164983165e-06,
|
| 2843 |
+
"loss": 0.6766,
|
| 2844 |
+
"step": 22950
|
| 2845 |
+
},
|
| 2846 |
+
{
|
| 2847 |
+
"epoch": 5.23,
|
| 2848 |
+
"learning_rate": 2.8728956228956235e-06,
|
| 2849 |
+
"loss": 0.7575,
|
| 2850 |
+
"step": 23000
|
| 2851 |
+
},
|
| 2852 |
+
{
|
| 2853 |
+
"epoch": 5.24,
|
| 2854 |
+
"learning_rate": 2.830808080808081e-06,
|
| 2855 |
+
"loss": 0.7613,
|
| 2856 |
+
"step": 23050
|
| 2857 |
+
},
|
| 2858 |
+
{
|
| 2859 |
+
"epoch": 5.25,
|
| 2860 |
+
"learning_rate": 2.788720538720539e-06,
|
| 2861 |
+
"loss": 0.8067,
|
| 2862 |
+
"step": 23100
|
| 2863 |
+
},
|
| 2864 |
+
{
|
| 2865 |
+
"epoch": 5.26,
|
| 2866 |
+
"learning_rate": 2.746632996632997e-06,
|
| 2867 |
+
"loss": 0.7005,
|
| 2868 |
+
"step": 23150
|
| 2869 |
+
},
|
| 2870 |
+
{
|
| 2871 |
+
"epoch": 5.27,
|
| 2872 |
+
"learning_rate": 2.7045454545454545e-06,
|
| 2873 |
+
"loss": 0.8384,
|
| 2874 |
+
"step": 23200
|
| 2875 |
+
},
|
| 2876 |
+
{
|
| 2877 |
+
"epoch": 5.28,
|
| 2878 |
+
"learning_rate": 2.6624579124579125e-06,
|
| 2879 |
+
"loss": 0.8518,
|
| 2880 |
+
"step": 23250
|
| 2881 |
+
},
|
| 2882 |
+
{
|
| 2883 |
+
"epoch": 5.3,
|
| 2884 |
+
"learning_rate": 2.6203703703703705e-06,
|
| 2885 |
+
"loss": 0.8564,
|
| 2886 |
+
"step": 23300
|
| 2887 |
+
},
|
| 2888 |
+
{
|
| 2889 |
+
"epoch": 5.31,
|
| 2890 |
+
"learning_rate": 2.578282828282829e-06,
|
| 2891 |
+
"loss": 0.7896,
|
| 2892 |
+
"step": 23350
|
| 2893 |
+
},
|
| 2894 |
+
{
|
| 2895 |
+
"epoch": 5.32,
|
| 2896 |
+
"learning_rate": 2.5361952861952864e-06,
|
| 2897 |
+
"loss": 0.856,
|
| 2898 |
+
"step": 23400
|
| 2899 |
+
},
|
| 2900 |
+
{
|
| 2901 |
+
"epoch": 5.33,
|
| 2902 |
+
"learning_rate": 2.4941077441077444e-06,
|
| 2903 |
+
"loss": 0.7428,
|
| 2904 |
+
"step": 23450
|
| 2905 |
+
},
|
| 2906 |
+
{
|
| 2907 |
+
"epoch": 5.34,
|
| 2908 |
+
"learning_rate": 2.4520202020202024e-06,
|
| 2909 |
+
"loss": 0.8151,
|
| 2910 |
+
"step": 23500
|
| 2911 |
+
},
|
| 2912 |
+
{
|
| 2913 |
+
"epoch": 5.35,
|
| 2914 |
+
"learning_rate": 2.40993265993266e-06,
|
| 2915 |
+
"loss": 0.7196,
|
| 2916 |
+
"step": 23550
|
| 2917 |
+
},
|
| 2918 |
+
{
|
| 2919 |
+
"epoch": 5.36,
|
| 2920 |
+
"learning_rate": 2.3678451178451183e-06,
|
| 2921 |
+
"loss": 0.9005,
|
| 2922 |
+
"step": 23600
|
| 2923 |
+
},
|
| 2924 |
+
{
|
| 2925 |
+
"epoch": 5.38,
|
| 2926 |
+
"learning_rate": 2.325757575757576e-06,
|
| 2927 |
+
"loss": 0.7523,
|
| 2928 |
+
"step": 23650
|
| 2929 |
+
},
|
| 2930 |
+
{
|
| 2931 |
+
"epoch": 5.39,
|
| 2932 |
+
"learning_rate": 2.283670033670034e-06,
|
| 2933 |
+
"loss": 0.7352,
|
| 2934 |
+
"step": 23700
|
| 2935 |
+
},
|
| 2936 |
+
{
|
| 2937 |
+
"epoch": 5.4,
|
| 2938 |
+
"learning_rate": 2.241582491582492e-06,
|
| 2939 |
+
"loss": 0.8185,
|
| 2940 |
+
"step": 23750
|
| 2941 |
+
},
|
| 2942 |
+
{
|
| 2943 |
+
"epoch": 5.41,
|
| 2944 |
+
"learning_rate": 2.19949494949495e-06,
|
| 2945 |
+
"loss": 0.8663,
|
| 2946 |
+
"step": 23800
|
| 2947 |
+
},
|
| 2948 |
+
{
|
| 2949 |
+
"epoch": 5.42,
|
| 2950 |
+
"learning_rate": 2.1574074074074073e-06,
|
| 2951 |
+
"loss": 0.7751,
|
| 2952 |
+
"step": 23850
|
| 2953 |
+
},
|
| 2954 |
+
{
|
| 2955 |
+
"epoch": 5.43,
|
| 2956 |
+
"learning_rate": 2.1161616161616163e-06,
|
| 2957 |
+
"loss": 0.8707,
|
| 2958 |
+
"step": 23900
|
| 2959 |
+
},
|
| 2960 |
+
{
|
| 2961 |
+
"epoch": 5.44,
|
| 2962 |
+
"learning_rate": 2.0740740740740742e-06,
|
| 2963 |
+
"loss": 0.9344,
|
| 2964 |
+
"step": 23950
|
| 2965 |
+
},
|
| 2966 |
+
{
|
| 2967 |
+
"epoch": 5.45,
|
| 2968 |
+
"learning_rate": 2.0319865319865322e-06,
|
| 2969 |
+
"loss": 0.8397,
|
| 2970 |
+
"step": 24000
|
| 2971 |
+
},
|
| 2972 |
+
{
|
| 2973 |
+
"epoch": 5.47,
|
| 2974 |
+
"learning_rate": 1.98989898989899e-06,
|
| 2975 |
+
"loss": 0.7523,
|
| 2976 |
+
"step": 24050
|
| 2977 |
+
},
|
| 2978 |
+
{
|
| 2979 |
+
"epoch": 5.48,
|
| 2980 |
+
"learning_rate": 1.9478114478114477e-06,
|
| 2981 |
+
"loss": 0.834,
|
| 2982 |
+
"step": 24100
|
| 2983 |
+
},
|
| 2984 |
+
{
|
| 2985 |
+
"epoch": 5.49,
|
| 2986 |
+
"learning_rate": 1.9057239057239057e-06,
|
| 2987 |
+
"loss": 0.6954,
|
| 2988 |
+
"step": 24150
|
| 2989 |
+
},
|
| 2990 |
+
{
|
| 2991 |
+
"epoch": 5.5,
|
| 2992 |
+
"learning_rate": 1.863636363636364e-06,
|
| 2993 |
+
"loss": 0.8846,
|
| 2994 |
+
"step": 24200
|
| 2995 |
+
},
|
| 2996 |
+
{
|
| 2997 |
+
"epoch": 5.51,
|
| 2998 |
+
"learning_rate": 1.8215488215488217e-06,
|
| 2999 |
+
"loss": 0.8028,
|
| 3000 |
+
"step": 24250
|
| 3001 |
+
},
|
| 3002 |
+
{
|
| 3003 |
+
"epoch": 5.52,
|
| 3004 |
+
"learning_rate": 1.7794612794612794e-06,
|
| 3005 |
+
"loss": 0.7823,
|
| 3006 |
+
"step": 24300
|
| 3007 |
+
},
|
| 3008 |
+
{
|
| 3009 |
+
"epoch": 5.53,
|
| 3010 |
+
"learning_rate": 1.7373737373737376e-06,
|
| 3011 |
+
"loss": 1.1963,
|
| 3012 |
+
"step": 24350
|
| 3013 |
+
},
|
| 3014 |
+
{
|
| 3015 |
+
"epoch": 5.55,
|
| 3016 |
+
"learning_rate": 1.6952861952861954e-06,
|
| 3017 |
+
"loss": 0.7852,
|
| 3018 |
+
"step": 24400
|
| 3019 |
+
},
|
| 3020 |
+
{
|
| 3021 |
+
"epoch": 5.56,
|
| 3022 |
+
"learning_rate": 1.6531986531986531e-06,
|
| 3023 |
+
"loss": 0.7807,
|
| 3024 |
+
"step": 24450
|
| 3025 |
+
},
|
| 3026 |
+
{
|
| 3027 |
+
"epoch": 5.57,
|
| 3028 |
+
"learning_rate": 1.6111111111111113e-06,
|
| 3029 |
+
"loss": 0.736,
|
| 3030 |
+
"step": 24500
|
| 3031 |
+
},
|
| 3032 |
+
{
|
| 3033 |
+
"epoch": 5.58,
|
| 3034 |
+
"learning_rate": 1.569023569023569e-06,
|
| 3035 |
+
"loss": 0.7848,
|
| 3036 |
+
"step": 24550
|
| 3037 |
+
},
|
| 3038 |
+
{
|
| 3039 |
+
"epoch": 5.59,
|
| 3040 |
+
"learning_rate": 1.526936026936027e-06,
|
| 3041 |
+
"loss": 1.0245,
|
| 3042 |
+
"step": 24600
|
| 3043 |
+
},
|
| 3044 |
+
{
|
| 3045 |
+
"epoch": 5.6,
|
| 3046 |
+
"learning_rate": 1.484848484848485e-06,
|
| 3047 |
+
"loss": 0.7971,
|
| 3048 |
+
"step": 24650
|
| 3049 |
+
},
|
| 3050 |
+
{
|
| 3051 |
+
"epoch": 5.61,
|
| 3052 |
+
"learning_rate": 1.442760942760943e-06,
|
| 3053 |
+
"loss": 0.7535,
|
| 3054 |
+
"step": 24700
|
| 3055 |
+
},
|
| 3056 |
+
{
|
| 3057 |
+
"epoch": 5.62,
|
| 3058 |
+
"learning_rate": 1.4006734006734008e-06,
|
| 3059 |
+
"loss": 0.7523,
|
| 3060 |
+
"step": 24750
|
| 3061 |
+
},
|
| 3062 |
+
{
|
| 3063 |
+
"epoch": 5.64,
|
| 3064 |
+
"learning_rate": 1.3585858585858585e-06,
|
| 3065 |
+
"loss": 0.9734,
|
| 3066 |
+
"step": 24800
|
| 3067 |
+
},
|
| 3068 |
+
{
|
| 3069 |
+
"epoch": 5.65,
|
| 3070 |
+
"learning_rate": 1.3164983164983167e-06,
|
| 3071 |
+
"loss": 0.8716,
|
| 3072 |
+
"step": 24850
|
| 3073 |
+
},
|
| 3074 |
+
{
|
| 3075 |
+
"epoch": 5.66,
|
| 3076 |
+
"learning_rate": 1.2744107744107745e-06,
|
| 3077 |
+
"loss": 0.7526,
|
| 3078 |
+
"step": 24900
|
| 3079 |
+
},
|
| 3080 |
+
{
|
| 3081 |
+
"epoch": 5.67,
|
| 3082 |
+
"learning_rate": 1.2323232323232325e-06,
|
| 3083 |
+
"loss": 0.7232,
|
| 3084 |
+
"step": 24950
|
| 3085 |
+
},
|
| 3086 |
+
{
|
| 3087 |
+
"epoch": 5.68,
|
| 3088 |
+
"learning_rate": 1.1902356902356902e-06,
|
| 3089 |
+
"loss": 0.7733,
|
| 3090 |
+
"step": 25000
|
| 3091 |
+
},
|
| 3092 |
+
{
|
| 3093 |
+
"epoch": 5.68,
|
| 3094 |
+
"eval_loss": 0.7833463549613953,
|
| 3095 |
+
"eval_runtime": 29.2924,
|
| 3096 |
+
"eval_samples_per_second": 48.477,
|
| 3097 |
+
"eval_steps_per_second": 3.038,
|
| 3098 |
+
"eval_wer": 0.4842516111464101,
|
| 3099 |
+
"step": 25000
|
| 3100 |
+
},
|
| 3101 |
+
{
|
| 3102 |
+
"epoch": 5.69,
|
| 3103 |
+
"learning_rate": 1.1481481481481482e-06,
|
| 3104 |
+
"loss": 0.79,
|
| 3105 |
+
"step": 25050
|
| 3106 |
+
},
|
| 3107 |
+
{
|
| 3108 |
+
"epoch": 5.7,
|
| 3109 |
+
"learning_rate": 1.1060606060606062e-06,
|
| 3110 |
+
"loss": 0.7398,
|
| 3111 |
+
"step": 25100
|
| 3112 |
+
},
|
| 3113 |
+
{
|
| 3114 |
+
"epoch": 5.72,
|
| 3115 |
+
"learning_rate": 1.063973063973064e-06,
|
| 3116 |
+
"loss": 0.7473,
|
| 3117 |
+
"step": 25150
|
| 3118 |
+
},
|
| 3119 |
+
{
|
| 3120 |
+
"epoch": 5.73,
|
| 3121 |
+
"learning_rate": 1.021885521885522e-06,
|
| 3122 |
+
"loss": 0.7433,
|
| 3123 |
+
"step": 25200
|
| 3124 |
+
},
|
| 3125 |
+
{
|
| 3126 |
+
"epoch": 5.74,
|
| 3127 |
+
"learning_rate": 9.797979797979799e-07,
|
| 3128 |
+
"loss": 1.0846,
|
| 3129 |
+
"step": 25250
|
| 3130 |
+
},
|
| 3131 |
+
{
|
| 3132 |
+
"epoch": 5.75,
|
| 3133 |
+
"learning_rate": 9.377104377104378e-07,
|
| 3134 |
+
"loss": 0.6879,
|
| 3135 |
+
"step": 25300
|
| 3136 |
+
},
|
| 3137 |
+
{
|
| 3138 |
+
"epoch": 5.76,
|
| 3139 |
+
"learning_rate": 8.956228956228957e-07,
|
| 3140 |
+
"loss": 0.9003,
|
| 3141 |
+
"step": 25350
|
| 3142 |
+
},
|
| 3143 |
+
{
|
| 3144 |
+
"epoch": 5.77,
|
| 3145 |
+
"learning_rate": 8.535353535353535e-07,
|
| 3146 |
+
"loss": 0.8282,
|
| 3147 |
+
"step": 25400
|
| 3148 |
+
},
|
| 3149 |
+
{
|
| 3150 |
+
"epoch": 5.78,
|
| 3151 |
+
"learning_rate": 8.114478114478115e-07,
|
| 3152 |
+
"loss": 0.7333,
|
| 3153 |
+
"step": 25450
|
| 3154 |
+
},
|
| 3155 |
+
{
|
| 3156 |
+
"epoch": 5.8,
|
| 3157 |
+
"learning_rate": 7.693602693602694e-07,
|
| 3158 |
+
"loss": 0.7157,
|
| 3159 |
+
"step": 25500
|
| 3160 |
+
},
|
| 3161 |
+
{
|
| 3162 |
+
"epoch": 5.81,
|
| 3163 |
+
"learning_rate": 7.272727272727273e-07,
|
| 3164 |
+
"loss": 0.7324,
|
| 3165 |
+
"step": 25550
|
| 3166 |
+
},
|
| 3167 |
+
{
|
| 3168 |
+
"epoch": 5.82,
|
| 3169 |
+
"learning_rate": 6.851851851851853e-07,
|
| 3170 |
+
"loss": 0.8716,
|
| 3171 |
+
"step": 25600
|
| 3172 |
+
},
|
| 3173 |
+
{
|
| 3174 |
+
"epoch": 5.83,
|
| 3175 |
+
"learning_rate": 6.430976430976431e-07,
|
| 3176 |
+
"loss": 0.7058,
|
| 3177 |
+
"step": 25650
|
| 3178 |
+
},
|
| 3179 |
+
{
|
| 3180 |
+
"epoch": 5.84,
|
| 3181 |
+
"learning_rate": 6.01010101010101e-07,
|
| 3182 |
+
"loss": 0.7181,
|
| 3183 |
+
"step": 25700
|
| 3184 |
+
},
|
| 3185 |
+
{
|
| 3186 |
+
"epoch": 5.85,
|
| 3187 |
+
"learning_rate": 5.589225589225589e-07,
|
| 3188 |
+
"loss": 0.7017,
|
| 3189 |
+
"step": 25750
|
| 3190 |
+
},
|
| 3191 |
+
{
|
| 3192 |
+
"epoch": 5.86,
|
| 3193 |
+
"learning_rate": 5.168350168350169e-07,
|
| 3194 |
+
"loss": 0.7228,
|
| 3195 |
+
"step": 25800
|
| 3196 |
+
},
|
| 3197 |
+
{
|
| 3198 |
+
"epoch": 5.88,
|
| 3199 |
+
"learning_rate": 4.747474747474748e-07,
|
| 3200 |
+
"loss": 0.7029,
|
| 3201 |
+
"step": 25850
|
| 3202 |
+
},
|
| 3203 |
+
{
|
| 3204 |
+
"epoch": 5.89,
|
| 3205 |
+
"learning_rate": 4.3265993265993266e-07,
|
| 3206 |
+
"loss": 0.7339,
|
| 3207 |
+
"step": 25900
|
| 3208 |
+
},
|
| 3209 |
+
{
|
| 3210 |
+
"epoch": 5.9,
|
| 3211 |
+
"learning_rate": 3.905723905723906e-07,
|
| 3212 |
+
"loss": 0.7346,
|
| 3213 |
+
"step": 25950
|
| 3214 |
+
},
|
| 3215 |
+
{
|
| 3216 |
+
"epoch": 5.91,
|
| 3217 |
+
"learning_rate": 3.4848484848484856e-07,
|
| 3218 |
+
"loss": 0.7139,
|
| 3219 |
+
"step": 26000
|
| 3220 |
+
},
|
| 3221 |
+
{
|
| 3222 |
+
"epoch": 5.92,
|
| 3223 |
+
"learning_rate": 3.0639730639730643e-07,
|
| 3224 |
+
"loss": 0.9626,
|
| 3225 |
+
"step": 26050
|
| 3226 |
+
},
|
| 3227 |
+
{
|
| 3228 |
+
"epoch": 5.93,
|
| 3229 |
+
"learning_rate": 2.643097643097643e-07,
|
| 3230 |
+
"loss": 0.7418,
|
| 3231 |
+
"step": 26100
|
| 3232 |
+
},
|
| 3233 |
+
{
|
| 3234 |
+
"epoch": 5.94,
|
| 3235 |
+
"learning_rate": 2.2222222222222224e-07,
|
| 3236 |
+
"loss": 0.8973,
|
| 3237 |
+
"step": 26150
|
| 3238 |
+
},
|
| 3239 |
+
{
|
| 3240 |
+
"epoch": 5.95,
|
| 3241 |
+
"learning_rate": 1.8013468013468014e-07,
|
| 3242 |
+
"loss": 0.8181,
|
| 3243 |
+
"step": 26200
|
| 3244 |
+
},
|
| 3245 |
+
{
|
| 3246 |
+
"epoch": 5.97,
|
| 3247 |
+
"learning_rate": 1.3804713804713806e-07,
|
| 3248 |
+
"loss": 0.6879,
|
| 3249 |
+
"step": 26250
|
| 3250 |
+
},
|
| 3251 |
+
{
|
| 3252 |
+
"epoch": 5.98,
|
| 3253 |
+
"learning_rate": 9.595959595959596e-08,
|
| 3254 |
+
"loss": 0.9437,
|
| 3255 |
+
"step": 26300
|
| 3256 |
+
},
|
| 3257 |
+
{
|
| 3258 |
+
"epoch": 5.99,
|
| 3259 |
+
"learning_rate": 5.387205387205388e-08,
|
| 3260 |
+
"loss": 0.7509,
|
| 3261 |
+
"step": 26350
|
| 3262 |
+
},
|
| 3263 |
+
{
|
| 3264 |
+
"epoch": 6.0,
|
| 3265 |
+
"learning_rate": 1.1784511784511785e-08,
|
| 3266 |
+
"loss": 0.7601,
|
| 3267 |
+
"step": 26400
|
| 3268 |
+
},
|
| 3269 |
+
{
|
| 3270 |
+
"epoch": 6.0,
|
| 3271 |
+
"step": 26400,
|
| 3272 |
+
"total_flos": 3.490209998680705e+20,
|
| 3273 |
+
"train_loss": 1.7717995837240508,
|
| 3274 |
+
"train_runtime": 16288.9371,
|
| 3275 |
+
"train_samples_per_second": 64.824,
|
| 3276 |
+
"train_steps_per_second": 1.621
|
| 3277 |
+
}
|
| 3278 |
+
],
|
| 3279 |
+
"logging_steps": 50,
|
| 3280 |
+
"max_steps": 26400,
|
| 3281 |
+
"num_train_epochs": 6,
|
| 3282 |
+
"save_steps": 500,
|
| 3283 |
+
"total_flos": 3.490209998680705e+20,
|
| 3284 |
+
"trial_name": null,
|
| 3285 |
+
"trial_params": null
|
| 3286 |
+
}
|