mms-1b-swagen-baseline-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: 0.2281
- Wer: 0.1941
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 |
---|---|---|---|---|
15.3971 | 0.2387 | 100 | 3.5940 | 1.0051 |
6.4342 | 0.4773 | 200 | 2.9924 | 0.9869 |
3.4197 | 0.7160 | 300 | 0.2737 | 0.2023 |
0.56 | 0.9547 | 400 | 0.2543 | 0.1962 |
0.5187 | 1.1933 | 500 | 0.2420 | 0.1929 |
0.5115 | 1.4320 | 600 | 0.2393 | 0.1947 |
0.5086 | 1.6706 | 700 | 0.2360 | 0.1892 |
0.4801 | 1.9093 | 800 | 0.2333 | 0.1874 |
0.5281 | 2.1480 | 900 | 0.2355 | 0.1958 |
0.4683 | 2.3866 | 1000 | 0.2378 | 0.1956 |
0.4548 | 2.6253 | 1100 | 0.2283 | 0.1874 |
0.4654 | 2.8640 | 1200 | 0.2323 | 0.1892 |
0.453 | 3.1026 | 1300 | 0.2288 | 0.1898 |
0.4542 | 3.3413 | 1400 | 0.2303 | 0.1902 |
0.4621 | 3.5800 | 1500 | 0.2253 | 0.1865 |
0.4342 | 3.8186 | 1600 | 0.2267 | 0.1869 |
0.466 | 4.0573 | 1700 | 0.2284 | 0.1898 |
0.4268 | 4.2959 | 1800 | 0.2325 | 0.1958 |
0.4283 | 4.5346 | 1900 | 0.2250 | 0.1886 |
0.4407 | 4.7733 | 2000 | 0.2250 | 0.1884 |
0.4762 | 5.0119 | 2100 | 0.2277 | 0.1894 |
0.4289 | 5.2506 | 2200 | 0.2225 | 0.1872 |
0.4391 | 5.4893 | 2300 | 0.2229 | 0.1884 |
0.4333 | 5.7279 | 2400 | 0.2229 | 0.1878 |
0.4351 | 5.9666 | 2500 | 0.2279 | 0.1902 |
0.4065 | 6.2053 | 2600 | 0.2280 | 0.1939 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
facebook/mms-1b-all