metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- automatic-speech-recognition
- swagen
- mms
- generated_from_trainer
metrics:
- wer
model-index:
- name: mms-1b-swagen-combined-15hrs-model
results: []
mms-1b-swagen-combined-15hrs-model
This model is a fine-tuned version of facebook/mms-1b-all on the SWAGEN - SWA dataset. It achieves the following results on the evaluation set:
- Loss: 0.2307
- Wer: 0.1929
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
- num_epochs: 30.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 14.8801 | 0.0797 | 100 | 0.7377 | 0.4426 |
| 0.6766 | 0.1594 | 200 | 0.2688 | 0.2006 |
| 0.5153 | 0.2391 | 300 | 0.2484 | 0.1975 |
| 0.526 | 0.3189 | 400 | 0.2398 | 0.1949 |
| 0.4874 | 0.3986 | 500 | 0.2398 | 0.1958 |
| 0.4666 | 0.4783 | 600 | 0.2358 | 0.1909 |
| 0.4406 | 0.5580 | 700 | 0.2391 | 0.1944 |
| 0.4689 | 0.6377 | 800 | 0.2334 | 0.1926 |
| 0.462 | 0.7174 | 900 | 0.2293 | 0.1927 |
| 0.4407 | 0.7971 | 1000 | 0.2293 | 0.1931 |
| 0.4567 | 0.8768 | 1100 | 0.2298 | 0.1928 |
| 0.4711 | 0.9566 | 1200 | 0.2305 | 0.1972 |
| 0.4444 | 1.0359 | 1300 | 0.2307 | 0.1929 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0