Gemma-2-2B_auto
Collection
36 items
•
Updated
This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-3_auto dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.3456 | 0.8696 | 5 | 1.3519 |
1.3545 | 1.9130 | 11 | 1.2756 |
1.2474 | 2.9565 | 17 | 1.1765 |
1.1006 | 4.0 | 23 | 1.0925 |
0.995 | 4.8696 | 28 | 1.0253 |
0.9268 | 5.9130 | 34 | 0.9853 |
0.8574 | 6.9565 | 40 | 0.9666 |
0.8398 | 8.0 | 46 | 0.9581 |
0.8249 | 8.8696 | 51 | 0.9570 |
0.8095 | 9.9130 | 57 | 0.9601 |
0.7215 | 10.9565 | 63 | 0.9763 |
0.6764 | 12.0 | 69 | 0.9987 |
0.6692 | 12.8696 | 74 | 1.0207 |
0.5679 | 13.9130 | 80 | 1.0891 |
0.5212 | 14.9565 | 86 | 1.1447 |
0.5149 | 16.0 | 92 | 1.2058 |