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_da0.4
results: []
w2v2-base-pretrained_lr1e-4_at0.8_da0.4
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: 2.1115
- Wer: 0.1952
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 |
|---|---|---|---|---|
| 21.2157 | 13.16 | 250 | 4.1634 | 1.0 |
| 3.2337 | 26.32 | 500 | 3.1231 | 1.0 |
| 3.0575 | 39.47 | 750 | 3.0466 | 1.0 |
| 2.0739 | 52.63 | 1000 | 1.0677 | 0.6284 |
| 0.1758 | 65.79 | 1250 | 1.3711 | 0.3170 |
| 0.0675 | 78.95 | 1500 | 1.6521 | 0.2268 |
| 0.0355 | 92.11 | 1750 | 1.7313 | 0.2332 |
| 0.0209 | 105.26 | 2000 | 1.9720 | 0.2114 |
| 0.0162 | 118.42 | 2250 | 1.7569 | 0.2085 |
| 0.0099 | 131.58 | 2500 | 2.1623 | 0.1944 |
| 0.0071 | 144.74 | 2750 | 2.2067 | 0.1922 |
| 0.0066 | 157.89 | 3000 | 2.1246 | 0.1944 |
| 0.0059 | 171.05 | 3250 | 2.1484 | 0.1922 |
| 0.0045 | 184.21 | 3500 | 2.1115 | 0.1952 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1