metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-base-pretrained_lr1e-4_at0.9_da1
results: []
w2v2-base-pretrained_lr1e-4_at0.9_da1
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: 6.9410
- Wer: 1.0571
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
- num_epochs: 60
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 17.8057 | 6.1 | 250 | 4.5611 | 1.0 |
| 3.2734 | 12.2 | 500 | 3.7357 | 1.0 |
| 2.8657 | 18.29 | 750 | 2.7315 | 1.0 |
| 0.3941 | 24.39 | 1000 | 4.7924 | 1.0529 |
| 0.1195 | 30.49 | 1250 | 5.4586 | 1.0507 |
| 0.0721 | 36.59 | 1500 | 6.5058 | 1.0588 |
| 0.0472 | 42.68 | 1750 | 6.8300 | 1.0614 |
| 0.0308 | 48.78 | 2000 | 6.8007 | 1.0597 |
| 0.0247 | 54.88 | 2250 | 6.9410 | 1.0571 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1