metadata
license: apache-2.0
base_model: facebook/wav2vec2-large
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-sw-cv-100hr-v6
results: []
wav2vec2-large-sw-cv-100hr-v6
This model is a fine-tuned version of facebook/wav2vec2-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6098
- Model Preparation Time: 0.0065
- Wer: 0.3875
- Cer: 0.1346
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: 0.001
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Cer | Validation Loss | Model Preparation Time | Wer |
|---|---|---|---|---|---|---|
| 2.1201 | 1.0 | 1040 | 0.1472 | 0.6354 | 0.0059 | 0.5377 |
| 0.4194 | 2.0 | 2080 | 0.1104 | 0.4653 | 0.0059 | 0.4050 |
| 0.3266 | 3.0 | 3120 | 0.1087 | 0.3807 | 0.0059 | 0.3726 |
| 0.2997 | 4.0 | 4160 | 0.0944 | 0.3834 | 0.0059 | 0.3445 |
| 0.2984 | 5.0 | 5200 | 0.0979 | 0.4147 | 0.0059 | 0.3493 |
| 0.3072 | 6.0 | 6240 | 0.1020 | 0.4111 | 0.0059 | 0.3583 |
| 0.3265 | 7.0 | 7280 | 0.1147 | 0.4162 | 0.0059 | 0.3947 |
| 0.3477 | 8.0 | 8320 | 0.4503 | 0.0065 | 0.3979 | 0.1191 |
| 0.384 | 9.0 | 9360 | 0.5286 | 0.0065 | 0.4552 | 0.1442 |
| 0.4269 | 10.0 | 10400 | 0.5312 | 0.0065 | 0.4761 | 0.1471 |
| 1.5371 | 11.0 | 11440 | 4.5667 | 0.0065 | 0.9999 | 0.9827 |
| 4.5758 | 12.0 | 12480 | 4.5229 | 0.0065 | 0.9999 | 0.9827 |
| 4.5739 | 13.0 | 13520 | 4.5302 | 0.0065 | 0.9999 | 0.9827 |
| 4.5753 | 14.0 | 14560 | 4.5329 | 0.0065 | 0.9999 | 0.9827 |
| 4.5736 | 15.0 | 15600 | 4.5338 | 0.0065 | 0.9999 | 0.9827 |
| 4.5724 | 16.0 | 16640 | 4.5463 | 0.0065 | 0.9999 | 0.9827 |
| 4.5738 | 17.0 | 17680 | 4.5220 | 0.0065 | 0.9999 | 0.9827 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1