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 and the GaetanMichelet/chat-120_ft_task-3_auto datasets. 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 |
---|---|---|---|
1.4057 | 0.9091 | 5 | 1.3750 |
1.3708 | 2.0 | 11 | 1.2889 |
1.2158 | 2.9091 | 16 | 1.1944 |
1.1179 | 4.0 | 22 | 1.1044 |
1.0198 | 4.9091 | 27 | 1.0251 |
0.9467 | 6.0 | 33 | 0.9804 |
0.9148 | 6.9091 | 38 | 0.9615 |
0.8909 | 8.0 | 44 | 0.9481 |
0.8645 | 8.9091 | 49 | 0.9407 |
0.867 | 10.0 | 55 | 0.9363 |
0.8193 | 10.9091 | 60 | 0.9359 |
0.7911 | 12.0 | 66 | 0.9404 |
0.7557 | 12.9091 | 71 | 0.9464 |
0.7439 | 14.0 | 77 | 0.9614 |
0.6475 | 14.9091 | 82 | 0.9828 |
0.6577 | 16.0 | 88 | 1.0100 |
0.5958 | 16.9091 | 93 | 1.0415 |
0.5391 | 18.0 | 99 | 1.0821 |