Commit
•
8707c51
1
Parent(s):
b42ee50
Model save
Browse files
README.md
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: llama3.1
|
| 4 |
+
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
|
| 5 |
+
tags:
|
| 6 |
+
- trl
|
| 7 |
+
- sft
|
| 8 |
+
- generated_from_trainer
|
| 9 |
+
model-index:
|
| 10 |
+
- name: transduction-10k-seed100-instruct-fft_lr1e-5_epoch2
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# transduction-10k-seed100-instruct-fft_lr1e-5_epoch2
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.0826
|
| 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: 1e-05
|
| 41 |
+
- train_batch_size: 8
|
| 42 |
+
- eval_batch_size: 4
|
| 43 |
+
- seed: 42
|
| 44 |
+
- distributed_type: multi-GPU
|
| 45 |
+
- num_devices: 8
|
| 46 |
+
- gradient_accumulation_steps: 2
|
| 47 |
+
- total_train_batch_size: 128
|
| 48 |
+
- total_eval_batch_size: 32
|
| 49 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 50 |
+
- lr_scheduler_type: cosine
|
| 51 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 52 |
+
- num_epochs: 2
|
| 53 |
+
|
| 54 |
+
### Training results
|
| 55 |
+
|
| 56 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 57 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 58 |
+
| 0.1352 | 1.0 | 76 | 0.0970 |
|
| 59 |
+
| 0.051 | 2.0 | 152 | 0.0826 |
|
| 60 |
+
|
| 61 |
+
|
| 62 |
+
### Framework versions
|
| 63 |
+
|
| 64 |
+
- Transformers 4.45.0.dev0
|
| 65 |
+
- Pytorch 2.4.0+cu121
|
| 66 |
+
- Datasets 3.0.1
|
| 67 |
+
- Tokenizers 0.19.1
|
all_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"total_flos": 4.516827336435302e+16,
|
| 4 |
+
"train_loss": 0.09894711428665016,
|
| 5 |
+
"train_runtime": 2051.5561,
|
| 6 |
+
"train_samples": 9698,
|
| 7 |
+
"train_samples_per_second": 9.454,
|
| 8 |
+
"train_steps_per_second": 0.074
|
| 9 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 128000,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
128001,
|
| 6 |
+
128008,
|
| 7 |
+
128009
|
| 8 |
+
],
|
| 9 |
+
"temperature": 0.6,
|
| 10 |
+
"top_p": 0.9,
|
| 11 |
+
"transformers_version": "4.45.0.dev0"
|
| 12 |
+
}
|
runs/Sep29_20-52-53_instance-20240927-081456/events.out.tfevents.1727643237.instance-20240927-081456.554162.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e4914a078681d620744ae0eb959c5c29eca8cbfe8f052e331f3ec8bd6303b9c3
|
| 3 |
+
size 38447
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"total_flos": 4.516827336435302e+16,
|
| 4 |
+
"train_loss": 0.09894711428665016,
|
| 5 |
+
"train_runtime": 2051.5561,
|
| 6 |
+
"train_samples": 9698,
|
| 7 |
+
"train_samples_per_second": 9.454,
|
| 8 |
+
"train_steps_per_second": 0.074
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1122 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 152,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.013157894736842105,
|
| 13 |
+
"grad_norm": 13.235902064816667,
|
| 14 |
+
"learning_rate": 6.25e-07,
|
| 15 |
+
"loss": 0.3431,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.02631578947368421,
|
| 20 |
+
"grad_norm": 13.138228566029483,
|
| 21 |
+
"learning_rate": 1.25e-06,
|
| 22 |
+
"loss": 0.3429,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.039473684210526314,
|
| 27 |
+
"grad_norm": 11.866560617710881,
|
| 28 |
+
"learning_rate": 1.8750000000000003e-06,
|
| 29 |
+
"loss": 0.2846,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.05263157894736842,
|
| 34 |
+
"grad_norm": 11.872638763731226,
|
| 35 |
+
"learning_rate": 2.5e-06,
|
| 36 |
+
"loss": 0.3455,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.06578947368421052,
|
| 41 |
+
"grad_norm": 7.262421698320824,
|
| 42 |
+
"learning_rate": 3.125e-06,
|
| 43 |
+
"loss": 0.2313,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.07894736842105263,
|
| 48 |
+
"grad_norm": 5.162108989306741,
|
| 49 |
+
"learning_rate": 3.7500000000000005e-06,
|
| 50 |
+
"loss": 0.1935,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.09210526315789473,
|
| 55 |
+
"grad_norm": 4.989963293072479,
|
| 56 |
+
"learning_rate": 4.3750000000000005e-06,
|
| 57 |
+
"loss": 0.1607,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.10526315789473684,
|
| 62 |
+
"grad_norm": 3.2196850103315575,
|
| 63 |
+
"learning_rate": 5e-06,
|
| 64 |
+
"loss": 0.1746,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.11842105263157894,
|
| 69 |
+
"grad_norm": 9.267917781353754,
|
| 70 |
+
"learning_rate": 5.625e-06,
|
| 71 |
+
"loss": 0.2141,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.13157894736842105,
|
| 76 |
+
"grad_norm": 2.9550126149670968,
|
| 77 |
+
"learning_rate": 6.25e-06,
|
| 78 |
+
"loss": 0.1466,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.14473684210526316,
|
| 83 |
+
"grad_norm": 3.2305434151019665,
|
| 84 |
+
"learning_rate": 6.875e-06,
|
| 85 |
+
"loss": 0.1559,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.15789473684210525,
|
| 90 |
+
"grad_norm": 2.303728369668543,
|
| 91 |
+
"learning_rate": 7.500000000000001e-06,
|
| 92 |
+
"loss": 0.1459,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.17105263157894737,
|
| 97 |
+
"grad_norm": 2.1650046636974225,
|
| 98 |
+
"learning_rate": 8.125000000000001e-06,
|
| 99 |
+
"loss": 0.1158,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.18421052631578946,
|
| 104 |
+
"grad_norm": 2.43429839604823,
|
| 105 |
+
"learning_rate": 8.750000000000001e-06,
|
| 106 |
+
"loss": 0.1429,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.19736842105263158,
|
| 111 |
+
"grad_norm": 2.256199461941204,
|
| 112 |
+
"learning_rate": 9.375000000000001e-06,
|
| 113 |
+
"loss": 0.1569,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.21052631578947367,
|
| 118 |
+
"grad_norm": 2.540675164259285,
|
| 119 |
+
"learning_rate": 1e-05,
|
| 120 |
+
"loss": 0.1389,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.2236842105263158,
|
| 125 |
+
"grad_norm": 3.0603124517729934,
|
| 126 |
+
"learning_rate": 9.998666040558187e-06,
|
| 127 |
+
"loss": 0.1481,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.23684210526315788,
|
| 132 |
+
"grad_norm": 3.15679704599401,
|
| 133 |
+
"learning_rate": 9.994664874011864e-06,
|
| 134 |
+
"loss": 0.1543,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.25,
|
| 139 |
+
"grad_norm": 1.2073031998301942,
|
| 140 |
+
"learning_rate": 9.987998635318586e-06,
|
| 141 |
+
"loss": 0.0912,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.2631578947368421,
|
| 146 |
+
"grad_norm": 1.5485358071033657,
|
| 147 |
+
"learning_rate": 9.978670881475173e-06,
|
| 148 |
+
"loss": 0.1454,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.27631578947368424,
|
| 153 |
+
"grad_norm": 1.837098464284506,
|
| 154 |
+
"learning_rate": 9.96668658961975e-06,
|
| 155 |
+
"loss": 0.1263,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.2894736842105263,
|
| 160 |
+
"grad_norm": 2.195521777946691,
|
| 161 |
+
"learning_rate": 9.952052154376027e-06,
|
| 162 |
+
"loss": 0.1347,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.3026315789473684,
|
| 167 |
+
"grad_norm": 1.4759607642496113,
|
| 168 |
+
"learning_rate": 9.93477538444123e-06,
|
| 169 |
+
"loss": 0.1036,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.3157894736842105,
|
| 174 |
+
"grad_norm": 3.4617468292311653,
|
| 175 |
+
"learning_rate": 9.91486549841951e-06,
|
| 176 |
+
"loss": 0.1401,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.32894736842105265,
|
| 181 |
+
"grad_norm": 1.8290234660376485,
|
| 182 |
+
"learning_rate": 9.892333119903045e-06,
|
| 183 |
+
"loss": 0.1191,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.34210526315789475,
|
| 188 |
+
"grad_norm": 1.9446124807007885,
|
| 189 |
+
"learning_rate": 9.867190271803466e-06,
|
| 190 |
+
"loss": 0.1156,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.35526315789473684,
|
| 195 |
+
"grad_norm": 1.924481905745065,
|
| 196 |
+
"learning_rate": 9.839450369936615e-06,
|
| 197 |
+
"loss": 0.1203,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.3684210526315789,
|
| 202 |
+
"grad_norm": 0.9472794741039898,
|
| 203 |
+
"learning_rate": 9.809128215864096e-06,
|
| 204 |
+
"loss": 0.084,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.3815789473684211,
|
| 209 |
+
"grad_norm": 1.8614087289828243,
|
| 210 |
+
"learning_rate": 9.776239988995401e-06,
|
| 211 |
+
"loss": 0.1237,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.39473684210526316,
|
| 216 |
+
"grad_norm": 1.8725601311672047,
|
| 217 |
+
"learning_rate": 9.74080323795483e-06,
|
| 218 |
+
"loss": 0.109,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.40789473684210525,
|
| 223 |
+
"grad_norm": 1.6989866208387698,
|
| 224 |
+
"learning_rate": 9.702836871217838e-06,
|
| 225 |
+
"loss": 0.1078,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.42105263157894735,
|
| 230 |
+
"grad_norm": 1.4620493708990816,
|
| 231 |
+
"learning_rate": 9.66236114702178e-06,
|
| 232 |
+
"loss": 0.0993,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.4342105263157895,
|
| 237 |
+
"grad_norm": 1.4349318310245505,
|
| 238 |
+
"learning_rate": 9.619397662556434e-06,
|
| 239 |
+
"loss": 0.1168,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.4473684210526316,
|
| 244 |
+
"grad_norm": 1.2971799391770196,
|
| 245 |
+
"learning_rate": 9.573969342440107e-06,
|
| 246 |
+
"loss": 0.0989,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.4605263157894737,
|
| 251 |
+
"grad_norm": 1.3284875209748295,
|
| 252 |
+
"learning_rate": 9.52610042648741e-06,
|
| 253 |
+
"loss": 0.1052,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.47368421052631576,
|
| 258 |
+
"grad_norm": 1.517294107060111,
|
| 259 |
+
"learning_rate": 9.475816456775313e-06,
|
| 260 |
+
"loss": 0.1095,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.4868421052631579,
|
| 265 |
+
"grad_norm": 1.8550537994393244,
|
| 266 |
+
"learning_rate": 9.423144264014278e-06,
|
| 267 |
+
"loss": 0.0975,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.5,
|
| 272 |
+
"grad_norm": 2.2490574894196733,
|
| 273 |
+
"learning_rate": 9.368111953231849e-06,
|
| 274 |
+
"loss": 0.1171,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.5131578947368421,
|
| 279 |
+
"grad_norm": 1.839240097339726,
|
| 280 |
+
"learning_rate": 9.310748888776254e-06,
|
| 281 |
+
"loss": 0.0916,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.5263157894736842,
|
| 286 |
+
"grad_norm": 1.0701426736883897,
|
| 287 |
+
"learning_rate": 9.251085678648072e-06,
|
| 288 |
+
"loss": 0.1004,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.5394736842105263,
|
| 293 |
+
"grad_norm": 1.3170647678764655,
|
| 294 |
+
"learning_rate": 9.189154158168293e-06,
|
| 295 |
+
"loss": 0.0873,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.5526315789473685,
|
| 300 |
+
"grad_norm": 1.2646530838963848,
|
| 301 |
+
"learning_rate": 9.124987372991512e-06,
|
| 302 |
+
"loss": 0.1062,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.5657894736842105,
|
| 307 |
+
"grad_norm": 2.0376323047774947,
|
| 308 |
+
"learning_rate": 9.058619561473308e-06,
|
| 309 |
+
"loss": 0.1446,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.5789473684210527,
|
| 314 |
+
"grad_norm": 1.4525149631147896,
|
| 315 |
+
"learning_rate": 8.990086136401199e-06,
|
| 316 |
+
"loss": 0.1063,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.5921052631578947,
|
| 321 |
+
"grad_norm": 1.7227367203376753,
|
| 322 |
+
"learning_rate": 8.91942366609897e-06,
|
| 323 |
+
"loss": 0.1288,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.6052631578947368,
|
| 328 |
+
"grad_norm": 1.6374368378542756,
|
| 329 |
+
"learning_rate": 8.846669854914395e-06,
|
| 330 |
+
"loss": 0.1101,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.618421052631579,
|
| 335 |
+
"grad_norm": 1.776661892531926,
|
| 336 |
+
"learning_rate": 8.771863523100821e-06,
|
| 337 |
+
"loss": 0.0863,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.631578947368421,
|
| 342 |
+
"grad_norm": 2.101189002973872,
|
| 343 |
+
"learning_rate": 8.695044586103297e-06,
|
| 344 |
+
"loss": 0.1155,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.6447368421052632,
|
| 349 |
+
"grad_norm": 1.4990143401140024,
|
| 350 |
+
"learning_rate": 8.616254033260351e-06,
|
| 351 |
+
"loss": 0.1233,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.6578947368421053,
|
| 356 |
+
"grad_norm": 1.300205397968391,
|
| 357 |
+
"learning_rate": 8.535533905932739e-06,
|
| 358 |
+
"loss": 0.0722,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.6710526315789473,
|
| 363 |
+
"grad_norm": 1.2976123144962795,
|
| 364 |
+
"learning_rate": 8.452927275070858e-06,
|
| 365 |
+
"loss": 0.0955,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.6842105263157895,
|
| 370 |
+
"grad_norm": 3.1993999412027807,
|
| 371 |
+
"learning_rate": 8.368478218232787e-06,
|
| 372 |
+
"loss": 0.0992,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.6973684210526315,
|
| 377 |
+
"grad_norm": 1.511040367087983,
|
| 378 |
+
"learning_rate": 8.282231796065215e-06,
|
| 379 |
+
"loss": 0.1239,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.7105263157894737,
|
| 384 |
+
"grad_norm": 1.735863282573467,
|
| 385 |
+
"learning_rate": 8.194234028259806e-06,
|
| 386 |
+
"loss": 0.1114,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.7236842105263158,
|
| 391 |
+
"grad_norm": 1.062538506538223,
|
| 392 |
+
"learning_rate": 8.104531868997858e-06,
|
| 393 |
+
"loss": 0.0833,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.7368421052631579,
|
| 398 |
+
"grad_norm": 1.4057184361489892,
|
| 399 |
+
"learning_rate": 8.013173181896283e-06,
|
| 400 |
+
"loss": 0.1348,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.75,
|
| 405 |
+
"grad_norm": 1.0217071440957173,
|
| 406 |
+
"learning_rate": 7.920206714468383e-06,
|
| 407 |
+
"loss": 0.0869,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.7631578947368421,
|
| 412 |
+
"grad_norm": 0.9647935123156808,
|
| 413 |
+
"learning_rate": 7.82568207211296e-06,
|
| 414 |
+
"loss": 0.0774,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.7763157894736842,
|
| 419 |
+
"grad_norm": 1.2119765768642377,
|
| 420 |
+
"learning_rate": 7.729649691645673e-06,
|
| 421 |
+
"loss": 0.0867,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.7894736842105263,
|
| 426 |
+
"grad_norm": 0.684404887958961,
|
| 427 |
+
"learning_rate": 7.63216081438678e-06,
|
| 428 |
+
"loss": 0.077,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.8026315789473685,
|
| 433 |
+
"grad_norm": 1.202460612915356,
|
| 434 |
+
"learning_rate": 7.533267458819597e-06,
|
| 435 |
+
"loss": 0.0823,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.8157894736842105,
|
| 440 |
+
"grad_norm": 1.307993207575058,
|
| 441 |
+
"learning_rate": 7.4330223928342814e-06,
|
| 442 |
+
"loss": 0.0902,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.8289473684210527,
|
| 447 |
+
"grad_norm": 1.6640855566750032,
|
| 448 |
+
"learning_rate": 7.33147910557174e-06,
|
| 449 |
+
"loss": 0.141,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.8421052631578947,
|
| 454 |
+
"grad_norm": 1.3895288949997349,
|
| 455 |
+
"learning_rate": 7.2286917788826926e-06,
|
| 456 |
+
"loss": 0.0992,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.8552631578947368,
|
| 461 |
+
"grad_norm": 0.86233230188121,
|
| 462 |
+
"learning_rate": 7.124715258417111e-06,
|
| 463 |
+
"loss": 0.0663,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.868421052631579,
|
| 468 |
+
"grad_norm": 1.3734677592094817,
|
| 469 |
+
"learning_rate": 7.019605024359475e-06,
|
| 470 |
+
"loss": 0.0848,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.881578947368421,
|
| 475 |
+
"grad_norm": 1.2016915391705267,
|
| 476 |
+
"learning_rate": 6.913417161825449e-06,
|
| 477 |
+
"loss": 0.1137,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.8947368421052632,
|
| 482 |
+
"grad_norm": 1.1962233631272159,
|
| 483 |
+
"learning_rate": 6.806208330935766e-06,
|
| 484 |
+
"loss": 0.0866,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.9078947368421053,
|
| 489 |
+
"grad_norm": 1.3774507325980982,
|
| 490 |
+
"learning_rate": 6.698035736583307e-06,
|
| 491 |
+
"loss": 0.0975,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.9210526315789473,
|
| 496 |
+
"grad_norm": 1.0910714190292217,
|
| 497 |
+
"learning_rate": 6.588957097909509e-06,
|
| 498 |
+
"loss": 0.0804,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.9342105263157895,
|
| 503 |
+
"grad_norm": 0.7559368152288192,
|
| 504 |
+
"learning_rate": 6.4790306175063535e-06,
|
| 505 |
+
"loss": 0.0748,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.9473684210526315,
|
| 510 |
+
"grad_norm": 1.320278904610911,
|
| 511 |
+
"learning_rate": 6.368314950360416e-06,
|
| 512 |
+
"loss": 0.1092,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.9605263157894737,
|
| 517 |
+
"grad_norm": 0.9978117274759357,
|
| 518 |
+
"learning_rate": 6.2568691725555144e-06,
|
| 519 |
+
"loss": 0.0669,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.9736842105263158,
|
| 524 |
+
"grad_norm": 1.184512537053634,
|
| 525 |
+
"learning_rate": 6.144752749750671e-06,
|
| 526 |
+
"loss": 0.0791,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.9868421052631579,
|
| 531 |
+
"grad_norm": 1.3888364419849502,
|
| 532 |
+
"learning_rate": 6.0320255054501985e-06,
|
| 533 |
+
"loss": 0.0791,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 1.0,
|
| 538 |
+
"grad_norm": 1.0696792385978997,
|
| 539 |
+
"learning_rate": 5.918747589082853e-06,
|
| 540 |
+
"loss": 0.1352,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 1.0,
|
| 545 |
+
"eval_loss": 0.09702859073877335,
|
| 546 |
+
"eval_runtime": 143.4285,
|
| 547 |
+
"eval_samples_per_second": 35.593,
|
| 548 |
+
"eval_steps_per_second": 1.116,
|
| 549 |
+
"step": 76
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.013157894736842,
|
| 553 |
+
"grad_norm": 1.130795788902584,
|
| 554 |
+
"learning_rate": 5.804979443907065e-06,
|
| 555 |
+
"loss": 0.0565,
|
| 556 |
+
"step": 77
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.0263157894736843,
|
| 560 |
+
"grad_norm": 0.9742675703939438,
|
| 561 |
+
"learning_rate": 5.690781774759412e-06,
|
| 562 |
+
"loss": 0.0826,
|
| 563 |
+
"step": 78
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.0394736842105263,
|
| 567 |
+
"grad_norm": 1.4529332894640457,
|
| 568 |
+
"learning_rate": 5.576215515663489e-06,
|
| 569 |
+
"loss": 0.109,
|
| 570 |
+
"step": 79
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.0526315789473684,
|
| 574 |
+
"grad_norm": 0.8745980190537407,
|
| 575 |
+
"learning_rate": 5.46134179731651e-06,
|
| 576 |
+
"loss": 0.0815,
|
| 577 |
+
"step": 80
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.0657894736842106,
|
| 581 |
+
"grad_norm": 0.965352409023328,
|
| 582 |
+
"learning_rate": 5.346221914470959e-06,
|
| 583 |
+
"loss": 0.0753,
|
| 584 |
+
"step": 81
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.0789473684210527,
|
| 588 |
+
"grad_norm": 0.9281912350813449,
|
| 589 |
+
"learning_rate": 5.230917293228699e-06,
|
| 590 |
+
"loss": 0.0604,
|
| 591 |
+
"step": 82
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.0921052631578947,
|
| 595 |
+
"grad_norm": 0.7117517424840752,
|
| 596 |
+
"learning_rate": 5.115489458265006e-06,
|
| 597 |
+
"loss": 0.0548,
|
| 598 |
+
"step": 83
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.1052631578947367,
|
| 602 |
+
"grad_norm": 0.8174226361772433,
|
| 603 |
+
"learning_rate": 5e-06,
|
| 604 |
+
"loss": 0.0798,
|
| 605 |
+
"step": 84
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.118421052631579,
|
| 609 |
+
"grad_norm": 1.091499890906096,
|
| 610 |
+
"learning_rate": 4.8845105417349955e-06,
|
| 611 |
+
"loss": 0.0669,
|
| 612 |
+
"step": 85
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.131578947368421,
|
| 616 |
+
"grad_norm": 0.8489893677105097,
|
| 617 |
+
"learning_rate": 4.7690827067713035e-06,
|
| 618 |
+
"loss": 0.0799,
|
| 619 |
+
"step": 86
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 1.1447368421052633,
|
| 623 |
+
"grad_norm": 1.0103580405572923,
|
| 624 |
+
"learning_rate": 4.653778085529043e-06,
|
| 625 |
+
"loss": 0.0697,
|
| 626 |
+
"step": 87
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.1578947368421053,
|
| 630 |
+
"grad_norm": 0.8915773944210619,
|
| 631 |
+
"learning_rate": 4.53865820268349e-06,
|
| 632 |
+
"loss": 0.0786,
|
| 633 |
+
"step": 88
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.1710526315789473,
|
| 637 |
+
"grad_norm": 0.9795278903306394,
|
| 638 |
+
"learning_rate": 4.4237844843365126e-06,
|
| 639 |
+
"loss": 0.0948,
|
| 640 |
+
"step": 89
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 1.1842105263157894,
|
| 644 |
+
"grad_norm": 0.6718237305799917,
|
| 645 |
+
"learning_rate": 4.309218225240591e-06,
|
| 646 |
+
"loss": 0.0751,
|
| 647 |
+
"step": 90
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 1.1973684210526316,
|
| 651 |
+
"grad_norm": 0.9809953018950844,
|
| 652 |
+
"learning_rate": 4.195020556092935e-06,
|
| 653 |
+
"loss": 0.0717,
|
| 654 |
+
"step": 91
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 1.2105263157894737,
|
| 658 |
+
"grad_norm": 1.3739884608587827,
|
| 659 |
+
"learning_rate": 4.081252410917148e-06,
|
| 660 |
+
"loss": 0.0834,
|
| 661 |
+
"step": 92
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.2236842105263157,
|
| 665 |
+
"grad_norm": 0.7354951934416454,
|
| 666 |
+
"learning_rate": 3.967974494549803e-06,
|
| 667 |
+
"loss": 0.0497,
|
| 668 |
+
"step": 93
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.236842105263158,
|
| 672 |
+
"grad_norm": 0.9321611181418619,
|
| 673 |
+
"learning_rate": 3.855247250249331e-06,
|
| 674 |
+
"loss": 0.1091,
|
| 675 |
+
"step": 94
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.25,
|
| 679 |
+
"grad_norm": 0.8153028496714768,
|
| 680 |
+
"learning_rate": 3.743130827444487e-06,
|
| 681 |
+
"loss": 0.0719,
|
| 682 |
+
"step": 95
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.263157894736842,
|
| 686 |
+
"grad_norm": 1.7763781332034168,
|
| 687 |
+
"learning_rate": 3.6316850496395863e-06,
|
| 688 |
+
"loss": 0.0995,
|
| 689 |
+
"step": 96
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.2763157894736843,
|
| 693 |
+
"grad_norm": 1.0403921146171855,
|
| 694 |
+
"learning_rate": 3.5209693824936486e-06,
|
| 695 |
+
"loss": 0.1035,
|
| 696 |
+
"step": 97
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.2894736842105263,
|
| 700 |
+
"grad_norm": 0.9375966336686881,
|
| 701 |
+
"learning_rate": 3.4110429020904924e-06,
|
| 702 |
+
"loss": 0.0854,
|
| 703 |
+
"step": 98
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.3026315789473684,
|
| 707 |
+
"grad_norm": 0.8044967231814447,
|
| 708 |
+
"learning_rate": 3.301964263416693e-06,
|
| 709 |
+
"loss": 0.0545,
|
| 710 |
+
"step": 99
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.3157894736842106,
|
| 714 |
+
"grad_norm": 1.057615646119616,
|
| 715 |
+
"learning_rate": 3.1937916690642356e-06,
|
| 716 |
+
"loss": 0.0721,
|
| 717 |
+
"step": 100
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.3289473684210527,
|
| 721 |
+
"grad_norm": 0.8460218568489392,
|
| 722 |
+
"learning_rate": 3.0865828381745515e-06,
|
| 723 |
+
"loss": 0.0756,
|
| 724 |
+
"step": 101
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 1.3421052631578947,
|
| 728 |
+
"grad_norm": 0.7973010176418315,
|
| 729 |
+
"learning_rate": 2.980394975640526e-06,
|
| 730 |
+
"loss": 0.0701,
|
| 731 |
+
"step": 102
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.3552631578947367,
|
| 735 |
+
"grad_norm": 0.43625526231871226,
|
| 736 |
+
"learning_rate": 2.8752847415828923e-06,
|
| 737 |
+
"loss": 0.0439,
|
| 738 |
+
"step": 103
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.368421052631579,
|
| 742 |
+
"grad_norm": 0.7846073292481729,
|
| 743 |
+
"learning_rate": 2.771308221117309e-06,
|
| 744 |
+
"loss": 0.068,
|
| 745 |
+
"step": 104
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.381578947368421,
|
| 749 |
+
"grad_norm": 0.7894886291152677,
|
| 750 |
+
"learning_rate": 2.668520894428259e-06,
|
| 751 |
+
"loss": 0.0521,
|
| 752 |
+
"step": 105
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.3947368421052633,
|
| 756 |
+
"grad_norm": 0.8898713056015292,
|
| 757 |
+
"learning_rate": 2.5669776071657194e-06,
|
| 758 |
+
"loss": 0.0832,
|
| 759 |
+
"step": 106
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.4078947368421053,
|
| 763 |
+
"grad_norm": 0.7239448528037634,
|
| 764 |
+
"learning_rate": 2.466732541180404e-06,
|
| 765 |
+
"loss": 0.0651,
|
| 766 |
+
"step": 107
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 1.4210526315789473,
|
| 770 |
+
"grad_norm": 1.1924698653865555,
|
| 771 |
+
"learning_rate": 2.3678391856132203e-06,
|
| 772 |
+
"loss": 0.0871,
|
| 773 |
+
"step": 108
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.4342105263157894,
|
| 777 |
+
"grad_norm": 0.796957419192979,
|
| 778 |
+
"learning_rate": 2.2703503083543288e-06,
|
| 779 |
+
"loss": 0.0632,
|
| 780 |
+
"step": 109
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.4473684210526316,
|
| 784 |
+
"grad_norm": 0.8317972188965687,
|
| 785 |
+
"learning_rate": 2.174317927887041e-06,
|
| 786 |
+
"loss": 0.0627,
|
| 787 |
+
"step": 110
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.4605263157894737,
|
| 791 |
+
"grad_norm": 0.6383766307808258,
|
| 792 |
+
"learning_rate": 2.0797932855316183e-06,
|
| 793 |
+
"loss": 0.0685,
|
| 794 |
+
"step": 111
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.4736842105263157,
|
| 798 |
+
"grad_norm": 0.8167329309674938,
|
| 799 |
+
"learning_rate": 1.9868268181037186e-06,
|
| 800 |
+
"loss": 0.0674,
|
| 801 |
+
"step": 112
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.486842105263158,
|
| 805 |
+
"grad_norm": 0.7471966235227357,
|
| 806 |
+
"learning_rate": 1.8954681310021434e-06,
|
| 807 |
+
"loss": 0.0729,
|
| 808 |
+
"step": 113
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.5,
|
| 812 |
+
"grad_norm": 0.6587846660979715,
|
| 813 |
+
"learning_rate": 1.8057659717401948e-06,
|
| 814 |
+
"loss": 0.0481,
|
| 815 |
+
"step": 114
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 1.513157894736842,
|
| 819 |
+
"grad_norm": 0.8623712101197185,
|
| 820 |
+
"learning_rate": 1.7177682039347875e-06,
|
| 821 |
+
"loss": 0.0751,
|
| 822 |
+
"step": 115
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 1.526315789473684,
|
| 826 |
+
"grad_norm": 0.7600610777742871,
|
| 827 |
+
"learning_rate": 1.6315217817672142e-06,
|
| 828 |
+
"loss": 0.0754,
|
| 829 |
+
"step": 116
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 1.5394736842105263,
|
| 833 |
+
"grad_norm": 0.7028388956696653,
|
| 834 |
+
"learning_rate": 1.5470727249291423e-06,
|
| 835 |
+
"loss": 0.0591,
|
| 836 |
+
"step": 117
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 1.5526315789473686,
|
| 840 |
+
"grad_norm": 0.9080662531327958,
|
| 841 |
+
"learning_rate": 1.4644660940672628e-06,
|
| 842 |
+
"loss": 0.0665,
|
| 843 |
+
"step": 118
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.5657894736842106,
|
| 847 |
+
"grad_norm": 0.8002081473664321,
|
| 848 |
+
"learning_rate": 1.383745966739652e-06,
|
| 849 |
+
"loss": 0.0567,
|
| 850 |
+
"step": 119
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.5789473684210527,
|
| 854 |
+
"grad_norm": 0.8070376846944848,
|
| 855 |
+
"learning_rate": 1.3049554138967052e-06,
|
| 856 |
+
"loss": 0.074,
|
| 857 |
+
"step": 120
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 1.5921052631578947,
|
| 861 |
+
"grad_norm": 0.7133857988769062,
|
| 862 |
+
"learning_rate": 1.2281364768991804e-06,
|
| 863 |
+
"loss": 0.082,
|
| 864 |
+
"step": 121
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.6052631578947367,
|
| 868 |
+
"grad_norm": 0.7063230781754961,
|
| 869 |
+
"learning_rate": 1.1533301450856054e-06,
|
| 870 |
+
"loss": 0.0793,
|
| 871 |
+
"step": 122
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 1.618421052631579,
|
| 875 |
+
"grad_norm": 0.5118303753159236,
|
| 876 |
+
"learning_rate": 1.0805763339010329e-06,
|
| 877 |
+
"loss": 0.0606,
|
| 878 |
+
"step": 123
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 1.631578947368421,
|
| 882 |
+
"grad_norm": 0.6255028097581671,
|
| 883 |
+
"learning_rate": 1.0099138635988026e-06,
|
| 884 |
+
"loss": 0.0624,
|
| 885 |
+
"step": 124
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 1.6447368421052633,
|
| 889 |
+
"grad_norm": 1.2565545443199133,
|
| 890 |
+
"learning_rate": 9.41380438526694e-07,
|
| 891 |
+
"loss": 0.0834,
|
| 892 |
+
"step": 125
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 1.6578947368421053,
|
| 896 |
+
"grad_norm": 0.6949398501709794,
|
| 897 |
+
"learning_rate": 8.750126270084891e-07,
|
| 898 |
+
"loss": 0.0554,
|
| 899 |
+
"step": 126
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 1.6710526315789473,
|
| 903 |
+
"grad_norm": 0.6169370398639232,
|
| 904 |
+
"learning_rate": 8.108458418317089e-07,
|
| 905 |
+
"loss": 0.0756,
|
| 906 |
+
"step": 127
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 1.6842105263157894,
|
| 910 |
+
"grad_norm": 0.5783403647508548,
|
| 911 |
+
"learning_rate": 7.489143213519301e-07,
|
| 912 |
+
"loss": 0.0484,
|
| 913 |
+
"step": 128
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 1.6973684210526314,
|
| 917 |
+
"grad_norm": 0.613206478877195,
|
| 918 |
+
"learning_rate": 6.892511112237472e-07,
|
| 919 |
+
"loss": 0.0674,
|
| 920 |
+
"step": 129
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 1.7105263157894737,
|
| 924 |
+
"grad_norm": 0.7610207582376373,
|
| 925 |
+
"learning_rate": 6.318880467681527e-07,
|
| 926 |
+
"loss": 0.0802,
|
| 927 |
+
"step": 130
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 1.723684210526316,
|
| 931 |
+
"grad_norm": 0.6484932637313764,
|
| 932 |
+
"learning_rate": 5.768557359857241e-07,
|
| 933 |
+
"loss": 0.0799,
|
| 934 |
+
"step": 131
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 1.736842105263158,
|
| 938 |
+
"grad_norm": 0.801045963046033,
|
| 939 |
+
"learning_rate": 5.241835432246888e-07,
|
| 940 |
+
"loss": 0.0631,
|
| 941 |
+
"step": 132
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 1.75,
|
| 945 |
+
"grad_norm": 0.5006567755599417,
|
| 946 |
+
"learning_rate": 4.738995735125895e-07,
|
| 947 |
+
"loss": 0.0602,
|
| 948 |
+
"step": 133
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 1.763157894736842,
|
| 952 |
+
"grad_norm": 0.7321825355306667,
|
| 953 |
+
"learning_rate": 4.2603065755989493e-07,
|
| 954 |
+
"loss": 0.0574,
|
| 955 |
+
"step": 134
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 1.776315789473684,
|
| 959 |
+
"grad_norm": 0.5455281345073466,
|
| 960 |
+
"learning_rate": 3.8060233744356634e-07,
|
| 961 |
+
"loss": 0.0585,
|
| 962 |
+
"step": 135
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 1.7894736842105263,
|
| 966 |
+
"grad_norm": 0.6941675384816356,
|
| 967 |
+
"learning_rate": 3.3763885297822153e-07,
|
| 968 |
+
"loss": 0.0593,
|
| 969 |
+
"step": 136
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 1.8026315789473686,
|
| 973 |
+
"grad_norm": 0.607277109667664,
|
| 974 |
+
"learning_rate": 2.9716312878216194e-07,
|
| 975 |
+
"loss": 0.0596,
|
| 976 |
+
"step": 137
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 1.8157894736842106,
|
| 980 |
+
"grad_norm": 0.5526534850437881,
|
| 981 |
+
"learning_rate": 2.5919676204517073e-07,
|
| 982 |
+
"loss": 0.0574,
|
| 983 |
+
"step": 138
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 1.8289473684210527,
|
| 987 |
+
"grad_norm": 0.7027887496493381,
|
| 988 |
+
"learning_rate": 2.237600110046001e-07,
|
| 989 |
+
"loss": 0.0883,
|
| 990 |
+
"step": 139
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 1.8421052631578947,
|
| 994 |
+
"grad_norm": 0.5658475866263035,
|
| 995 |
+
"learning_rate": 1.908717841359048e-07,
|
| 996 |
+
"loss": 0.0593,
|
| 997 |
+
"step": 140
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 1.8552631578947367,
|
| 1001 |
+
"grad_norm": 0.6440458312241749,
|
| 1002 |
+
"learning_rate": 1.6054963006338742e-07,
|
| 1003 |
+
"loss": 0.0645,
|
| 1004 |
+
"step": 141
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 1.868421052631579,
|
| 1008 |
+
"grad_norm": 0.8251777255090132,
|
| 1009 |
+
"learning_rate": 1.328097281965357e-07,
|
| 1010 |
+
"loss": 0.091,
|
| 1011 |
+
"step": 142
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 1.881578947368421,
|
| 1015 |
+
"grad_norm": 0.584859727969167,
|
| 1016 |
+
"learning_rate": 1.0766688009695548e-07,
|
| 1017 |
+
"loss": 0.0624,
|
| 1018 |
+
"step": 143
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 1.8947368421052633,
|
| 1022 |
+
"grad_norm": 0.6478070234261503,
|
| 1023 |
+
"learning_rate": 8.513450158049109e-08,
|
| 1024 |
+
"loss": 0.0662,
|
| 1025 |
+
"step": 144
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 1.9078947368421053,
|
| 1029 |
+
"grad_norm": 0.5481010295457636,
|
| 1030 |
+
"learning_rate": 6.522461555877213e-08,
|
| 1031 |
+
"loss": 0.0717,
|
| 1032 |
+
"step": 145
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 1.9210526315789473,
|
| 1036 |
+
"grad_norm": 0.5866004853500736,
|
| 1037 |
+
"learning_rate": 4.794784562397459e-08,
|
| 1038 |
+
"loss": 0.0729,
|
| 1039 |
+
"step": 146
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 1.9342105263157894,
|
| 1043 |
+
"grad_norm": 0.7549384445552164,
|
| 1044 |
+
"learning_rate": 3.3313410380250157e-08,
|
| 1045 |
+
"loss": 0.0936,
|
| 1046 |
+
"step": 147
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 1.9473684210526314,
|
| 1050 |
+
"grad_norm": 0.8887389895072535,
|
| 1051 |
+
"learning_rate": 2.1329118524827662e-08,
|
| 1052 |
+
"loss": 0.1033,
|
| 1053 |
+
"step": 148
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 1.9605263157894737,
|
| 1057 |
+
"grad_norm": 0.6459019124164774,
|
| 1058 |
+
"learning_rate": 1.200136468141544e-08,
|
| 1059 |
+
"loss": 0.0951,
|
| 1060 |
+
"step": 149
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 1.973684210526316,
|
| 1064 |
+
"grad_norm": 0.5993524993653697,
|
| 1065 |
+
"learning_rate": 5.3351259881379016e-09,
|
| 1066 |
+
"loss": 0.063,
|
| 1067 |
+
"step": 150
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 1.986842105263158,
|
| 1071 |
+
"grad_norm": 0.6183094577100168,
|
| 1072 |
+
"learning_rate": 1.3339594418138036e-09,
|
| 1073 |
+
"loss": 0.0715,
|
| 1074 |
+
"step": 151
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 2.0,
|
| 1078 |
+
"grad_norm": 0.47166327201031033,
|
| 1079 |
+
"learning_rate": 0.0,
|
| 1080 |
+
"loss": 0.051,
|
| 1081 |
+
"step": 152
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 2.0,
|
| 1085 |
+
"eval_loss": 0.08257210999727249,
|
| 1086 |
+
"eval_runtime": 143.687,
|
| 1087 |
+
"eval_samples_per_second": 35.529,
|
| 1088 |
+
"eval_steps_per_second": 1.114,
|
| 1089 |
+
"step": 152
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 2.0,
|
| 1093 |
+
"step": 152,
|
| 1094 |
+
"total_flos": 4.516827336435302e+16,
|
| 1095 |
+
"train_loss": 0.09894711428665016,
|
| 1096 |
+
"train_runtime": 2051.5561,
|
| 1097 |
+
"train_samples_per_second": 9.454,
|
| 1098 |
+
"train_steps_per_second": 0.074
|
| 1099 |
+
}
|
| 1100 |
+
],
|
| 1101 |
+
"logging_steps": 1,
|
| 1102 |
+
"max_steps": 152,
|
| 1103 |
+
"num_input_tokens_seen": 0,
|
| 1104 |
+
"num_train_epochs": 2,
|
| 1105 |
+
"save_steps": 500,
|
| 1106 |
+
"stateful_callbacks": {
|
| 1107 |
+
"TrainerControl": {
|
| 1108 |
+
"args": {
|
| 1109 |
+
"should_epoch_stop": false,
|
| 1110 |
+
"should_evaluate": false,
|
| 1111 |
+
"should_log": false,
|
| 1112 |
+
"should_save": true,
|
| 1113 |
+
"should_training_stop": true
|
| 1114 |
+
},
|
| 1115 |
+
"attributes": {}
|
| 1116 |
+
}
|
| 1117 |
+
},
|
| 1118 |
+
"total_flos": 4.516827336435302e+16,
|
| 1119 |
+
"train_batch_size": 8,
|
| 1120 |
+
"trial_name": null,
|
| 1121 |
+
"trial_params": null
|
| 1122 |
+
}
|