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gpt2-large-finetuned-jhegarty-texts
This model is a fine-tuned version of gpt2-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.1128
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 25 | 3.9585 |
No log | 2.0 | 50 | 3.9082 |
No log | 3.0 | 75 | 3.9567 |
No log | 4.0 | 100 | 4.0397 |
No log | 5.0 | 125 | 4.1128 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3