metadata
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: intit_model
results: []
intit_model
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2486
- Wer: 0.4348
- Cer: 0.9047
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.9753 | 20.0 | 100 | 1.3804 | 0.5072 | 0.9054 |
| 0.5395 | 40.0 | 200 | 1.5495 | 0.4444 | 0.9062 |
| 0.3735 | 60.0 | 300 | 1.7729 | 0.4396 | 0.9056 |
| 0.2427 | 80.0 | 400 | 1.9016 | 0.4348 | 0.9063 |
| 0.2389 | 100.0 | 500 | 2.0569 | 0.4348 | 0.9061 |
| 0.1822 | 120.0 | 600 | 2.0684 | 0.4300 | 0.9050 |
| 0.1578 | 140.0 | 700 | 2.1332 | 0.4396 | 0.9049 |
| 0.1547 | 160.0 | 800 | 2.2138 | 0.4444 | 0.9047 |
| 0.1807 | 180.0 | 900 | 2.2467 | 0.4348 | 0.9047 |
| 0.1427 | 200.0 | 1000 | 2.2486 | 0.4348 | 0.9047 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0