xlsr-no-se-nmcpc
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0008
- Wer: 0.2106
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0004
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 132
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.9119 | 4.2553 | 200 | 3.0710 | 1.0 |
| 3.0199 | 8.5106 | 400 | 2.8618 | 1.0 |
| 2.7311 | 12.7660 | 600 | 2.2436 | 0.9957 |
| 1.7526 | 17.0213 | 800 | 0.5282 | 0.6234 |
| 0.7948 | 21.2766 | 1000 | 0.1705 | 0.3894 |
| 0.4432 | 25.5319 | 1200 | 0.1006 | 0.3149 |
| 0.2996 | 29.7872 | 1400 | 0.0629 | 0.2660 |
| 0.2087 | 34.0426 | 1600 | 0.0243 | 0.2532 |
| 0.1572 | 38.2979 | 1800 | 0.0223 | 0.2362 |
| 0.1222 | 42.5532 | 2000 | 0.0177 | 0.2404 |
| 0.1003 | 46.8085 | 2200 | 0.0069 | 0.2298 |
| 0.0897 | 51.0638 | 2400 | 0.0074 | 0.2234 |
| 0.0686 | 55.3191 | 2600 | 0.0058 | 0.2149 |
| 0.0649 | 59.5745 | 2800 | 0.0028 | 0.2064 |
| 0.0481 | 63.8298 | 3000 | 0.0027 | 0.2064 |
| 0.0504 | 68.0851 | 3200 | 0.0028 | 0.2085 |
| 0.0416 | 72.3404 | 3400 | 0.0042 | 0.1936 |
| 0.0317 | 76.5957 | 3600 | 0.0023 | 0.2021 |
| 0.0326 | 80.8511 | 3800 | 0.0010 | 0.2043 |
| 0.026 | 85.1064 | 4000 | 0.0009 | 0.2085 |
| 0.0233 | 89.3617 | 4200 | 0.0009 | 0.2085 |
| 0.0202 | 93.6170 | 4400 | 0.0008 | 0.2106 |
| 0.0235 | 97.8723 | 4600 | 0.0008 | 0.2106 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
facebook/wav2vec2-large-xlsr-53