M365_v3
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0896
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.326 | 1.0 | 900 | 0.1093 |
| 0.059 | 2.0 | 1800 | 0.0841 |
| 0.0141 | 3.0 | 2700 | 0.0896 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1
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