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: 16.9074
- Wer: 1.0
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 |
|---|---|---|---|---|
| 25.5111 | 6.1 | 250 | 21.0169 | 1.0 |
| 8.8611 | 12.2 | 500 | 18.3862 | 1.0 |
| 8.2182 | 18.29 | 750 | 16.3061 | 1.0 |
| 8.1364 | 24.39 | 1000 | 15.6357 | 1.0 |
| 8.1315 | 30.49 | 1250 | 17.5602 | 1.0 |
| 8.1532 | 36.59 | 1500 | 16.3879 | 1.0 |
| 8.0249 | 42.68 | 1750 | 17.4829 | 1.0 |
| 8.0482 | 48.78 | 2000 | 16.9106 | 1.0 |
| 8.0999 | 54.88 | 2250 | 16.9074 | 1.0 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1