metadata
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-mms-1b-bem-colab
results: []
wav2vec2-large-mms-1b-bem-colab
This model is a fine-tuned version of facebook/mms-1b-all on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1638
- Wer: 0.3223
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.2095 | 1.03 | 200 | 0.2066 | 0.3850 |
| 0.4028 | 2.06 | 400 | 0.1861 | 0.3539 |
| 0.3751 | 3.09 | 600 | 0.1781 | 0.3417 |
| 0.3631 | 4.12 | 800 | 0.1739 | 0.3392 |
| 0.3481 | 5.15 | 1000 | 0.1688 | 0.3340 |
| 0.3391 | 6.19 | 1200 | 0.1690 | 0.3319 |
| 0.3301 | 7.22 | 1400 | 0.1654 | 0.3285 |
| 0.3237 | 8.25 | 1600 | 0.1667 | 0.3262 |
| 0.3186 | 9.28 | 1800 | 0.1638 | 0.3223 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3