mms-TARIC
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: 1.5919
- Wer: 93.5
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: 1e-05
- train_batch_size: 20
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 250
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.754 | 0.7 | 500 | 4.3964 | 100.0 |
| 3.1365 | 1.4 | 1000 | 2.9634 | 99.8333 |
| 2.1983 | 2.1 | 1500 | 2.0130 | 98.75 |
| 1.8176 | 2.81 | 2000 | 1.7127 | 94.75 |
| 1.7473 | 3.51 | 2500 | 1.5919 | 93.5 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1
- Datasets 2.19.1
- Tokenizers 0.13.3
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Base model
facebook/mms-1b-all