metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-base-pretrained_lr5e-5_at0.8_da0.3
results: []
w2v2-base-pretrained_lr5e-5_at0.8_da0.3
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: 5.8781
- Wer: 0.7877
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: 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 24.822 | 17.86 | 250 | 8.9601 | 1.0 |
| 6.2153 | 35.71 | 500 | 5.9697 | 1.0 |
| 3.5607 | 53.57 | 750 | 5.5112 | 1.0 |
| 3.2305 | 71.43 | 1000 | 5.6378 | 1.0 |
| 2.9631 | 89.29 | 1250 | 5.4385 | 1.0 |
| 2.5463 | 107.14 | 1500 | 5.2806 | 0.9953 |
| 2.1207 | 125.0 | 1750 | 5.3065 | 0.9492 |
| 1.7629 | 142.86 | 2000 | 5.4365 | 0.9158 |
| 1.4631 | 160.71 | 2250 | 5.1678 | 0.8667 |
| 1.2158 | 178.57 | 2500 | 5.3097 | 0.8428 |
| 1.0507 | 196.43 | 2750 | 5.6917 | 0.8279 |
| 0.9326 | 214.29 | 3000 | 5.7407 | 0.8197 |
| 0.8245 | 232.14 | 3250 | 5.5588 | 0.8039 |
| 0.7415 | 250.0 | 3500 | 5.7107 | 0.7860 |
| 0.694 | 267.86 | 3750 | 5.8551 | 0.7971 |
| 0.6634 | 285.71 | 4000 | 5.8781 | 0.7877 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1