| # GPT-2 (125M) 4k tokens | |
| Fine-tuned GPT2 Smallest model on The Pile with a token length of 4k. | |
| Weights are included and it follows Karpathy's nanoGPT implementation. | |
| The model has been trained for ~1 million iterations with increasing batch size, ending at 32k. | |
| The final loss is 3.9 which is probably due to 768 embedding size. |