Commit ·
53602e2
1
Parent(s): c78e1ad
update model card README.md
Browse files
README.md
CHANGED
|
@@ -13,6 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 13 |
# trained_french
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
|
|
|
|
|
|
|
|
|
|
| 16 |
|
| 17 |
## Model description
|
| 18 |
|
|
@@ -31,7 +34,7 @@ More information needed
|
|
| 31 |
### Training hyperparameters
|
| 32 |
|
| 33 |
The following hyperparameters were used during training:
|
| 34 |
-
- learning_rate: 0.
|
| 35 |
- train_batch_size: 6
|
| 36 |
- eval_batch_size: 8
|
| 37 |
- seed: 42
|
|
@@ -40,10 +43,22 @@ The following hyperparameters were used during training:
|
|
| 40 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 41 |
- lr_scheduler_type: linear
|
| 42 |
- lr_scheduler_warmup_steps: 20
|
| 43 |
-
- num_epochs:
|
| 44 |
|
| 45 |
### Training results
|
| 46 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 47 |
|
| 48 |
|
| 49 |
### Framework versions
|
|
|
|
| 13 |
# trained_french
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
|
| 16 |
+
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 4.8493
|
| 18 |
+
- Wer: 1.0
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
|
|
| 34 |
### Training hyperparameters
|
| 35 |
|
| 36 |
The following hyperparameters were used during training:
|
| 37 |
+
- learning_rate: 0.003
|
| 38 |
- train_batch_size: 6
|
| 39 |
- eval_batch_size: 8
|
| 40 |
- 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: 20
|
| 46 |
+
- num_epochs: 60
|
| 47 |
|
| 48 |
### Training results
|
| 49 |
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 51 |
+
|:-------------:|:-----:|:----:|:---------------:|:---:|
|
| 52 |
+
| 6.2268 | 5.53 | 50 | 4.9813 | 1.0 |
|
| 53 |
+
| 5.724 | 11.11 | 100 | 4.8808 | 1.0 |
|
| 54 |
+
| 5.629 | 16.63 | 150 | 4.9001 | 1.0 |
|
| 55 |
+
| 5.3351 | 22.21 | 200 | 4.8457 | 1.0 |
|
| 56 |
+
| 5.2043 | 27.74 | 250 | 4.8386 | 1.0 |
|
| 57 |
+
| 5.1709 | 33.32 | 300 | 4.8647 | 1.0 |
|
| 58 |
+
| 5.065 | 38.84 | 350 | 4.8574 | 1.0 |
|
| 59 |
+
| 5.0685 | 44.42 | 400 | 4.8449 | 1.0 |
|
| 60 |
+
| 5.0584 | 49.95 | 450 | 4.8412 | 1.0 |
|
| 61 |
+
| 4.9626 | 55.53 | 500 | 4.8493 | 1.0 |
|
| 62 |
|
| 63 |
|
| 64 |
### Framework versions
|