metadata
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vecvanilla_ctc_zero_infinity
results: []
wav2vecvanilla_ctc_zero_infinity
This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8214
- Wer: 0.3168
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: 4
- 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: 500
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.4684 | 0.43 | 100 | 1.0567 | 0.4018 |
| 1.2572 | 0.85 | 200 | 0.9726 | 0.3706 |
| 1.139 | 1.28 | 300 | 0.9748 | 0.3602 |
| 1.0956 | 1.71 | 400 | 0.9989 | 0.3619 |
| 1.0891 | 2.14 | 500 | 0.9133 | 0.3606 |
| 1.063 | 2.56 | 600 | 0.9272 | 0.3548 |
| 1.0339 | 2.99 | 700 | 1.0183 | 0.3444 |
| 0.9709 | 3.42 | 800 | 0.8244 | 0.3488 |
| 0.958 | 3.85 | 900 | 0.8335 | 0.3410 |
| 0.8954 | 4.27 | 1000 | 0.8641 | 0.3336 |
| 0.8735 | 4.7 | 1100 | 0.8671 | 0.3306 |
| 0.8411 | 5.13 | 1200 | 0.8373 | 0.3281 |
| 0.805 | 5.56 | 1300 | 0.8197 | 0.3198 |
| 0.8452 | 5.98 | 1400 | 0.8343 | 0.3158 |
| 0.8078 | 6.41 | 1500 | 0.8392 | 0.3165 |
| 0.7946 | 6.84 | 1600 | 0.8214 | 0.3168 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2