metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- automatic-speech-recognition
- lozgen
- mms
- generated_from_trainer
metrics:
- wer
model-index:
- name: mms-1b-lozgen-female-model
results: []
mms-1b-lozgen-female-model
This model is a fine-tuned version of facebook/mms-1b-all on the LOZGEN - LOZ dataset. It achieves the following results on the evaluation set:
- Loss: 0.6218
- Wer: 0.3955
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 30.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.7809 | 0.8696 | 100 | 3.1491 | 0.9759 |
| 2.6957 | 1.7391 | 200 | 2.0011 | 0.9278 |
| 1.1829 | 2.6087 | 300 | 0.8064 | 0.6421 |
| 0.8527 | 3.4783 | 400 | 0.7470 | 0.5333 |
| 0.8376 | 4.3478 | 500 | 0.6996 | 0.4923 |
| 0.7567 | 5.2174 | 600 | 0.6792 | 0.4686 |
| 0.7014 | 6.0870 | 700 | 0.6882 | 0.4555 |
| 0.7242 | 6.9565 | 800 | 0.6557 | 0.4578 |
| 0.6895 | 7.8261 | 900 | 0.6532 | 0.4409 |
| 0.6543 | 8.6957 | 1000 | 0.6477 | 0.4278 |
| 0.6386 | 9.5652 | 1100 | 0.6592 | 0.4219 |
| 0.6145 | 10.4348 | 1200 | 0.6435 | 0.4257 |
| 0.6513 | 11.3043 | 1300 | 0.6570 | 0.4147 |
| 0.5788 | 12.1739 | 1400 | 0.6259 | 0.4086 |
| 0.6061 | 13.0435 | 1500 | 0.6179 | 0.4006 |
| 0.5647 | 13.9130 | 1600 | 0.6186 | 0.4006 |
| 0.5715 | 14.7826 | 1700 | 0.6271 | 0.3985 |
| 0.5502 | 15.6522 | 1800 | 0.6218 | 0.3962 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0