metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-base-pretrained_lr1e-4_at0.7_da1
results: []
w2v2-base-pretrained_lr1e-4_at0.7_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: 6.2022
- Wer: 1.0580
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 |
|---|---|---|---|---|
| 18.007 | 4.46 | 250 | 4.3814 | 1.0 |
| 3.2628 | 8.93 | 500 | 3.8568 | 1.0 |
| 3.1079 | 13.39 | 750 | 3.9328 | 1.0 |
| 1.4764 | 17.86 | 1000 | 2.7696 | 1.0384 |
| 0.2321 | 22.32 | 1250 | 4.2808 | 1.0507 |
| 0.1312 | 26.79 | 1500 | 4.8707 | 1.0529 |
| 0.0793 | 31.25 | 1750 | 5.2587 | 1.0558 |
| 0.0546 | 35.71 | 2000 | 5.6739 | 1.0541 |
| 0.0401 | 40.18 | 2250 | 5.7379 | 1.0494 |
| 0.0303 | 44.64 | 2500 | 5.8382 | 1.0558 |
| 0.0255 | 49.11 | 2750 | 6.0859 | 1.0567 |
| 0.0223 | 53.57 | 3000 | 6.0789 | 1.0558 |
| 0.019 | 58.04 | 3250 | 6.2022 | 1.0580 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1