240626-wav2vec2-ASR_Global
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4971
- Wer: 0.0966
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: 5e-05
- train_batch_size: 5
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.4085 | 100 | 0.5435 | 0.1003 |
| No log | 2.8169 | 200 | 0.5230 | 0.1092 |
| No log | 4.2254 | 300 | 0.5379 | 0.1105 |
| No log | 5.6338 | 400 | 0.5906 | 0.1244 |
| 0.1133 | 7.0423 | 500 | 0.5424 | 0.1148 |
| 0.1133 | 8.4507 | 600 | 0.5311 | 0.1318 |
| 0.1133 | 9.8592 | 700 | 0.5263 | 0.12 |
| 0.1133 | 11.2676 | 800 | 0.5259 | 0.1123 |
| 0.1133 | 12.6761 | 900 | 0.5031 | 0.1030 |
| 0.128 | 14.0845 | 1000 | 0.5482 | 0.1103 |
| 0.128 | 15.4930 | 1100 | 0.5225 | 0.1038 |
| 0.128 | 16.9014 | 1200 | 0.4823 | 0.0980 |
| 0.128 | 18.3099 | 1300 | 0.4971 | 0.0966 |
| 0.128 | 19.7183 | 1400 | 0.5219 | 0.0982 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1