metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- automatic-speech-recognition
- bigcgen
- mms
- generated_from_trainer
metrics:
- wer
model-index:
- name: mms-1b-bigcgen-female-20hrs-model
results: []
mms-1b-bigcgen-female-20hrs-model
This model is a fine-tuned version of facebook/mms-1b-all on the BIGCGEN - BEM dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.5260
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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
- training_steps: 2500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 13.9528 | 0.0752 | 100 | inf | 1.0431 |
| 6.1846 | 0.1505 | 200 | inf | 1.0030 |
| 5.4651 | 0.2257 | 300 | inf | 1.0386 |
| 4.4356 | 0.3010 | 400 | inf | 0.8831 |
| 2.2016 | 0.3762 | 500 | inf | 0.6218 |
| 1.8013 | 0.4515 | 600 | inf | 0.5746 |
| 1.7499 | 0.5267 | 700 | inf | 0.5793 |
| 1.6979 | 0.6020 | 800 | inf | 0.5501 |
| 1.5567 | 0.6772 | 900 | inf | 0.5439 |
| 1.6301 | 0.7524 | 1000 | inf | 0.5355 |
| 1.6362 | 0.8277 | 1100 | inf | 0.5367 |
| 1.5247 | 0.9029 | 1200 | inf | 0.5326 |
| 1.4012 | 0.9782 | 1300 | inf | 0.5346 |
| 1.6397 | 1.0534 | 1400 | inf | 0.5301 |
| 1.5258 | 1.1287 | 1500 | inf | 0.5285 |
| 1.4144 | 1.2039 | 1600 | inf | 0.5244 |
| 1.4363 | 1.2792 | 1700 | inf | 0.5144 |
| 1.3733 | 1.3544 | 1800 | inf | 0.5358 |
| 1.4592 | 1.4296 | 1900 | inf | 0.5598 |
| 1.3499 | 1.5049 | 2000 | inf | 0.5192 |
| 1.4039 | 1.5801 | 2100 | inf | 0.5228 |
| 1.4057 | 1.6554 | 2200 | inf | 0.5289 |
| 1.4961 | 1.7306 | 2300 | inf | 0.5323 |
| 1.3975 | 1.8059 | 2400 | inf | 0.5119 |
| 1.4725 | 1.8811 | 2500 | inf | 0.5260 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0