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-3 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 |
---|---|---|---|
2.4485 | 0.6957 | 2 | 2.4418 |
2.3693 | 1.7391 | 5 | 2.0528 |
1.7056 | 2.7826 | 8 | 1.2637 |
1.1524 | 3.8261 | 11 | 0.6909 |
0.568 | 4.8696 | 14 | 0.5483 |
0.5339 | 5.9130 | 17 | 0.4959 |
0.4507 | 6.9565 | 20 | 0.4587 |
0.3073 | 8.0 | 23 | 0.4425 |
0.4037 | 8.6957 | 25 | 0.4284 |
0.3191 | 9.7391 | 28 | 0.4162 |
0.3306 | 10.7826 | 31 | 0.4068 |
0.2342 | 11.8261 | 34 | 0.4073 |
0.2395 | 12.8696 | 37 | 0.4246 |
0.1509 | 13.9130 | 40 | 0.4373 |
0.2333 | 14.9565 | 43 | 0.4344 |
0.1348 | 16.0 | 46 | 0.4878 |
0.1198 | 16.6957 | 48 | 0.5004 |
0.0922 | 17.7391 | 51 | 0.5110 |
Base model
meta-llama/Llama-3.1-8B