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-twi-colab2
results: []
wav2vec2-large-mms-1b-twi-colab2
This model is a fine-tuned version of facebook/mms-1b-all on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4517
- Wer: 0.4211
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: 0.0003
- train_batch_size: 8
- 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: 200
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.9769 | 0.37 | 200 | 0.7091 | 0.6498 |
| 0.8277 | 0.73 | 400 | 0.4803 | 0.4690 |
| 0.7056 | 1.1 | 600 | 0.4752 | 0.4439 |
| 0.6693 | 1.46 | 800 | 0.4622 | 0.4311 |
| 0.6416 | 1.83 | 1000 | 0.4563 | 0.4324 |
| 0.6242 | 2.19 | 1200 | 0.4573 | 0.4268 |
| 0.6226 | 2.56 | 1400 | 0.4520 | 0.4250 |
| 0.5858 | 2.93 | 1600 | 0.4537 | 0.4222 |
| 0.5751 | 3.29 | 1800 | 0.4540 | 0.4227 |
| 0.5912 | 3.66 | 2000 | 0.4517 | 0.4211 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3