metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: torgo_xlsr_finetune_M03
results: []
torgo_xlsr_finetune_M03
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6993
- Wer: 0.3247
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: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.5549 | 0.94 | 1000 | 3.3500 | 1.0 |
| 1.6884 | 1.89 | 2000 | 1.7291 | 0.8173 |
| 0.8237 | 2.83 | 3000 | 1.4608 | 0.6568 |
| 0.6483 | 3.77 | 4000 | 1.1613 | 0.4954 |
| 0.5299 | 4.72 | 5000 | 1.5725 | 0.4824 |
| 0.4091 | 5.66 | 6000 | 1.4437 | 0.4685 |
| 0.3694 | 6.6 | 7000 | 1.4507 | 0.4397 |
| 0.3515 | 7.55 | 8000 | 1.4397 | 0.4230 |
| 0.2878 | 8.49 | 9000 | 1.4089 | 0.3980 |
| 0.2698 | 9.43 | 10000 | 1.4696 | 0.3776 |
| 0.2621 | 10.38 | 11000 | 1.6717 | 0.3905 |
| 0.2465 | 11.32 | 12000 | 1.6235 | 0.3544 |
| 0.221 | 12.26 | 13000 | 1.4009 | 0.3479 |
| 0.2169 | 13.21 | 14000 | 1.6981 | 0.3636 |
| 0.187 | 14.15 | 15000 | 1.4411 | 0.3302 |
| 0.1918 | 15.09 | 16000 | 1.6418 | 0.3377 |
| 0.1876 | 16.04 | 17000 | 1.4613 | 0.3340 |
| 0.1641 | 16.98 | 18000 | 1.6040 | 0.3312 |
| 0.1546 | 17.92 | 19000 | 1.6096 | 0.3293 |
| 0.1522 | 18.87 | 20000 | 1.7270 | 0.3265 |
| 0.1332 | 19.81 | 21000 | 1.6993 | 0.3247 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3