metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-base-pretrained_lr1e-4_at0.8_da0.2
results: []
w2v2-base-pretrained_lr1e-4_at0.8_da0.2
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2354
- Wer: 0.1781
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: 0.0001
- train_batch_size: 32
- 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: 1000
- training_steps: 3500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 18.7165 | 25.0 | 250 | 3.6383 | 1.0 |
| 3.2049 | 50.0 | 500 | 3.1037 | 1.0 |
| 2.5797 | 75.0 | 750 | 1.3392 | 0.9987 |
| 0.2099 | 100.0 | 1000 | 1.5991 | 0.2947 |
| 0.0635 | 125.0 | 1250 | 1.7346 | 0.2119 |
| 0.0354 | 150.0 | 1500 | 2.0431 | 0.1939 |
| 0.0184 | 175.0 | 1750 | 1.9597 | 0.1935 |
| 0.0129 | 200.0 | 2000 | 2.2028 | 0.1991 |
| 0.0101 | 225.0 | 2250 | 1.9856 | 0.1820 |
| 0.0061 | 250.0 | 2500 | 1.9899 | 0.1897 |
| 0.0064 | 275.0 | 2750 | 2.1246 | 0.1811 |
| 0.0037 | 300.0 | 3000 | 2.2400 | 0.1803 |
| 0.0033 | 325.0 | 3250 | 2.1766 | 0.1786 |
| 0.0029 | 350.0 | 3500 | 2.2354 | 0.1781 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1