Commit
·
3282e19
1
Parent(s):
de2a236
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
|
| 6 |
+
- common_voice
|
| 7 |
+
model-index:
|
| 8 |
+
- name: wav2vec2-base-1
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# wav2vec2-base-1
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the common_voice dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.9254
|
| 20 |
+
- Wer: 0.3216
|
| 21 |
+
|
| 22 |
+
## Model description
|
| 23 |
+
|
| 24 |
+
More information needed
|
| 25 |
+
|
| 26 |
+
## Intended uses & limitations
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Training and evaluation data
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training procedure
|
| 35 |
+
|
| 36 |
+
### Training hyperparameters
|
| 37 |
+
|
| 38 |
+
The following hyperparameters were used during training:
|
| 39 |
+
- learning_rate: 0.0001
|
| 40 |
+
- train_batch_size: 32
|
| 41 |
+
- eval_batch_size: 8
|
| 42 |
+
- seed: 42
|
| 43 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 44 |
+
- lr_scheduler_type: linear
|
| 45 |
+
- lr_scheduler_warmup_steps: 1000
|
| 46 |
+
- num_epochs: 30
|
| 47 |
+
- mixed_precision_training: Native AMP
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 52 |
+
|:-------------:|:-----:|:-----:|:---------------:|:------:|
|
| 53 |
+
| 1.6597 | 2.2 | 1000 | 0.8904 | 0.5388 |
|
| 54 |
+
| 0.4751 | 4.41 | 2000 | 0.7009 | 0.3976 |
|
| 55 |
+
| 0.3307 | 6.61 | 3000 | 0.7068 | 0.3672 |
|
| 56 |
+
| 0.2574 | 8.81 | 4000 | 0.7320 | 0.3544 |
|
| 57 |
+
| 0.2096 | 11.01 | 5000 | 0.7803 | 0.3418 |
|
| 58 |
+
| 0.177 | 13.22 | 6000 | 0.7768 | 0.3423 |
|
| 59 |
+
| 0.1521 | 15.42 | 7000 | 0.8113 | 0.3375 |
|
| 60 |
+
| 0.1338 | 17.62 | 8000 | 0.8153 | 0.3325 |
|
| 61 |
+
| 0.1168 | 19.82 | 9000 | 0.8851 | 0.3306 |
|
| 62 |
+
| 0.104 | 22.03 | 10000 | 0.8811 | 0.3277 |
|
| 63 |
+
| 0.0916 | 24.23 | 11000 | 0.8722 | 0.3254 |
|
| 64 |
+
| 0.083 | 26.43 | 12000 | 0.9527 | 0.3265 |
|
| 65 |
+
| 0.0766 | 28.63 | 13000 | 0.9254 | 0.3216 |
|
| 66 |
+
|
| 67 |
+
|
| 68 |
+
### Framework versions
|
| 69 |
+
|
| 70 |
+
- Transformers 4.11.3
|
| 71 |
+
- Pytorch 1.10.0+cu111
|
| 72 |
+
- Datasets 1.13.3
|
| 73 |
+
- Tokenizers 0.10.3
|