umts
This model is a fine-tuned version of bigscience/mt0-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 20.8655
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 19.235 | 1.0 | 16917 | 20.8672 |
| 19.2425 | 2.0 | 33834 | 20.8658 |
| 19.2805 | 3.0 | 50751 | 20.8657 |
| 19.261 | 4.0 | 67668 | 20.8655 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.14.1
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Base model
bigscience/mt0-small