Model save
Browse files- README.md +79 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,79 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: mit
|
| 4 |
+
base_model: facebook/w2v-bert-2.0
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
metrics:
|
| 8 |
+
- wer
|
| 9 |
+
model-index:
|
| 10 |
+
- name: w2v-bert-bem-natbed-combined-model
|
| 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 |
+
# w2v-bert-bem-natbed-combined-model
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.6744
|
| 22 |
+
- Wer: 0.5884
|
| 23 |
+
|
| 24 |
+
## Model description
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Intended uses & limitations
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training and evaluation data
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Training procedure
|
| 37 |
+
|
| 38 |
+
### Training hyperparameters
|
| 39 |
+
|
| 40 |
+
The following hyperparameters were used during training:
|
| 41 |
+
- learning_rate: 0.0003
|
| 42 |
+
- train_batch_size: 8
|
| 43 |
+
- eval_batch_size: 8
|
| 44 |
+
- seed: 42
|
| 45 |
+
- gradient_accumulation_steps: 2
|
| 46 |
+
- total_train_batch_size: 16
|
| 47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 48 |
+
- lr_scheduler_type: linear
|
| 49 |
+
- lr_scheduler_warmup_steps: 100
|
| 50 |
+
- num_epochs: 30.0
|
| 51 |
+
- mixed_precision_training: Native AMP
|
| 52 |
+
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 56 |
+
|:-------------:|:------:|:----:|:---------------:|:------:|
|
| 57 |
+
| 1.0078 | 0.5006 | 200 | 0.9815 | 0.8201 |
|
| 58 |
+
| 0.8769 | 1.0013 | 400 | 0.9823 | 1.0433 |
|
| 59 |
+
| 0.805 | 1.5019 | 600 | 0.8306 | 0.8606 |
|
| 60 |
+
| 0.8141 | 2.0025 | 800 | 0.7548 | 0.7196 |
|
| 61 |
+
| 0.7132 | 2.5031 | 1000 | 0.7485 | 0.6932 |
|
| 62 |
+
| 0.7058 | 3.0038 | 1200 | 0.7280 | 0.6917 |
|
| 63 |
+
| 0.6563 | 3.5044 | 1400 | 0.7046 | 0.7045 |
|
| 64 |
+
| 0.6232 | 4.0050 | 1600 | 0.7186 | 0.7409 |
|
| 65 |
+
| 0.6093 | 4.5056 | 1800 | 0.7048 | 0.6434 |
|
| 66 |
+
| 0.5767 | 5.0063 | 2000 | 0.6521 | 0.6474 |
|
| 67 |
+
| 0.5628 | 5.5069 | 2200 | 0.6322 | 0.6018 |
|
| 68 |
+
| 0.5569 | 6.0075 | 2400 | 0.6289 | 0.6078 |
|
| 69 |
+
| 0.5156 | 6.5081 | 2600 | 0.6504 | 0.6374 |
|
| 70 |
+
| 0.5074 | 7.0088 | 2800 | 0.6638 | 0.6222 |
|
| 71 |
+
| 0.4906 | 7.5094 | 3000 | 0.6744 | 0.5884 |
|
| 72 |
+
|
| 73 |
+
|
| 74 |
+
### Framework versions
|
| 75 |
+
|
| 76 |
+
- Transformers 4.46.0.dev0
|
| 77 |
+
- Pytorch 2.4.1+cu121
|
| 78 |
+
- Datasets 3.0.1
|
| 79 |
+
- Tokenizers 0.20.0
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2422966360
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bcc898a293f197cf97f30d0eb31c5fca295d5502ff24778efbdb99f3eeb08cdb
|
| 3 |
size 2422966360
|