tech_clm_model_21042024
This model is a fine-tuned version of distilbert/distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7581
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9915 | 1.0 | 987 | 3.8276 |
| 3.8866 | 2.0 | 1974 | 3.8017 |
| 3.8388 | 3.0 | 2961 | 3.7851 |
| 3.8059 | 4.0 | 3948 | 3.7764 |
| 3.777 | 5.0 | 4935 | 3.7688 |
| 3.7625 | 6.0 | 5922 | 3.7644 |
| 3.7498 | 7.0 | 6909 | 3.7609 |
| 3.7407 | 8.0 | 7896 | 3.7597 |
| 3.7275 | 9.0 | 8883 | 3.7581 |
| 3.7253 | 10.0 | 9870 | 3.7581 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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