Configurations choice
Collection
Choice of configuration based on the results of different fine-tuning. All provide mor or less same results but 1 and 2 are way faster! (lr)
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52 items
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Updated
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the GaetanMichelet/chat-60_ft_task-1 and the GaetanMichelet/chat-120_ft_task-1 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 |
---|---|---|---|
2.121 | 0.9091 | 5 | 2.1020 |
2.0709 | 2.0 | 11 | 2.0931 |
2.0454 | 2.9091 | 16 | 2.0755 |
2.0502 | 4.0 | 22 | 2.0472 |
2.0511 | 4.9091 | 27 | 2.0100 |
1.9554 | 6.0 | 33 | 1.9472 |
1.8921 | 6.9091 | 38 | 1.8795 |
1.8104 | 8.0 | 44 | 1.7813 |
1.7636 | 8.9091 | 49 | 1.6937 |
1.6011 | 10.0 | 55 | 1.6142 |
1.5128 | 10.9091 | 60 | 1.5751 |
1.4277 | 12.0 | 66 | 1.5353 |
1.4998 | 12.9091 | 71 | 1.5001 |
1.4154 | 14.0 | 77 | 1.4583 |
1.4201 | 14.9091 | 82 | 1.4252 |
1.3364 | 16.0 | 88 | 1.3921 |
1.2762 | 16.9091 | 93 | 1.3691 |
1.2851 | 18.0 | 99 | 1.3437 |
1.2239 | 18.9091 | 104 | 1.3261 |
1.221 | 20.0 | 110 | 1.3084 |
1.2011 | 20.9091 | 115 | 1.2951 |
1.1433 | 22.0 | 121 | 1.2824 |
1.1579 | 22.9091 | 126 | 1.2746 |
1.0871 | 24.0 | 132 | 1.2680 |
1.0745 | 24.9091 | 137 | 1.2635 |
1.0006 | 26.0 | 143 | 1.2674 |
0.9628 | 26.9091 | 148 | 1.2689 |
0.9237 | 28.0 | 154 | 1.2717 |
0.8824 | 28.9091 | 159 | 1.2880 |
0.8706 | 30.0 | 165 | 1.2961 |
0.8328 | 30.9091 | 170 | 1.3266 |
0.7667 | 32.0 | 176 | 1.3447 |
Base model
meta-llama/Llama-3.1-8B