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_da0.6
results: []
w2v2-base-pretrained_lr1e-4_at0.8_da0.6
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: 2.5777
- Wer: 0.1820
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 |
|---|---|---|---|---|
| 15.4716 | 8.93 | 250 | 3.5805 | 1.0 |
| 3.156 | 17.86 | 500 | 3.1574 | 1.0 |
| 2.6095 | 26.79 | 750 | 1.2490 | 1.0 |
| 0.2716 | 35.71 | 1000 | 1.6097 | 0.2422 |
| 0.0901 | 44.64 | 1250 | 1.8537 | 0.2085 |
| 0.0526 | 53.57 | 1500 | 1.7249 | 0.2080 |
| 0.0328 | 62.5 | 1750 | 2.2934 | 0.1922 |
| 0.0237 | 71.43 | 2000 | 2.1689 | 0.1948 |
| 0.018 | 80.36 | 2250 | 2.4606 | 0.1918 |
| 0.0144 | 89.29 | 2500 | 2.6943 | 0.1837 |
| 0.0108 | 98.21 | 2750 | 2.5514 | 0.1807 |
| 0.0078 | 107.14 | 3000 | 2.5035 | 0.1858 |
| 0.0064 | 116.07 | 3250 | 2.6022 | 0.1845 |
| 0.0069 | 125.0 | 3500 | 2.5777 | 0.1820 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1