<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
Churchill-GPT
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5078
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 16 | 3.4954 |
| No log | 2.0 | 32 | 3.4977 |
| No log | 3.0 | 48 | 3.5000 |
| No log | 4.0 | 64 | 3.5040 |
| No log | 5.0 | 80 | 3.5063 |
| No log | 6.0 | 96 | 3.5063 |
| No log | 7.0 | 112 | 3.5072 |
| No log | 8.0 | 128 | 3.5078 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2
