update model card README.md
Browse files
README.md
CHANGED
|
@@ -2,6 +2,8 @@
|
|
| 2 |
license: apache-2.0
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
|
|
|
|
|
|
| 5 |
model-index:
|
| 6 |
- name: wav2vec2-colab
|
| 7 |
results: []
|
|
@@ -13,6 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 13 |
# wav2vec2-colab
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [facebook/wav2vec2-xlsr-53-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-xlsr-53-espeak-cv-ft) on the None dataset.
|
|
|
|
|
|
|
|
|
|
| 16 |
|
| 17 |
## Model description
|
| 18 |
|
|
@@ -32,11 +37,11 @@ More information needed
|
|
| 32 |
|
| 33 |
The following hyperparameters were used during training:
|
| 34 |
- learning_rate: 5e-06
|
| 35 |
-
- train_batch_size:
|
| 36 |
- eval_batch_size: 8
|
| 37 |
- seed: 42
|
| 38 |
- gradient_accumulation_steps: 2
|
| 39 |
-
- total_train_batch_size:
|
| 40 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 41 |
- lr_scheduler_type: linear
|
| 42 |
- lr_scheduler_warmup_steps: 500
|
|
@@ -45,6 +50,11 @@ The following hyperparameters were used during training:
|
|
| 45 |
|
| 46 |
### Training results
|
| 47 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 48 |
|
| 49 |
|
| 50 |
### Framework versions
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- wer
|
| 7 |
model-index:
|
| 8 |
- name: wav2vec2-colab
|
| 9 |
results: []
|
|
|
|
| 15 |
# wav2vec2-colab
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [facebook/wav2vec2-xlsr-53-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-xlsr-53-espeak-cv-ft) on the None dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: inf
|
| 20 |
+
- Wer: 0.9155
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
|
|
| 37 |
|
| 38 |
The following hyperparameters were used during training:
|
| 39 |
- learning_rate: 5e-06
|
| 40 |
+
- train_batch_size: 24
|
| 41 |
- eval_batch_size: 8
|
| 42 |
- seed: 42
|
| 43 |
- gradient_accumulation_steps: 2
|
| 44 |
+
- total_train_batch_size: 48
|
| 45 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
- lr_scheduler_type: linear
|
| 47 |
- lr_scheduler_warmup_steps: 500
|
|
|
|
| 50 |
|
| 51 |
### Training results
|
| 52 |
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 54 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
| 55 |
+
| 0.7628 | 7.83 | 400 | inf | 0.9155 |
|
| 56 |
+
| 1.0544 | 15.68 | 800 | inf | 0.9155 |
|
| 57 |
+
| 7.5478 | 23.52 | 1200 | inf | 0.9155 |
|
| 58 |
|
| 59 |
|
| 60 |
### Framework versions
|