M365_demo_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: 0.1596
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: 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7505 | 1.0 | 900 | 0.1955 |
| 0.1748 | 2.0 | 1800 | 0.1680 |
| 0.1092 | 3.0 | 2700 | 0.1596 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1
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Model tree for marklicata/M365_demo_8k
Base model
distilbert/distilbert-base-uncased