slm-experiments
Collection
15 items
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Updated
This model is a fine-tuned version of HuggingFaceTB/SmolLM-360M-Instruct on an unknown 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 | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
---|---|---|---|---|---|---|---|---|---|---|---|
0.5228 | 0.9999 | 3368 | 0.8697 | 0.0208 | 0.3405 | 0.0348 | -0.3197 | -470.8920 | -545.8519 | 0.3270 | 0.6295 |
0.4508 | 2.0 | 6737 | 0.8870 | 0.0130 | 0.3621 | 0.0228 | -0.3491 | -470.6755 | -545.9296 | 0.2662 | 0.5778 |
0.4451 | 2.9999 | 10105 | 0.8871 | 0.0057 | 0.3546 | 0.0337 | -0.3489 | -470.7502 | -546.0029 | 0.2855 | 0.5938 |
0.4447 | 4.0 | 13474 | 0.8869 | 0.0098 | 0.3588 | 0.0196 | -0.3490 | -470.7085 | -545.9620 | 0.3198 | 0.6222 |
0.4446 | 4.9999 | 16842 | 0.8870 | 0.0065 | 0.3551 | 0.0391 | -0.3486 | -470.7452 | -545.9945 | 0.3097 | 0.6124 |
0.4448 | 5.9991 | 20208 | 0.8854 | 0.0056 | 0.3516 | 0.0326 | -0.3460 | -470.7809 | -546.0043 | 0.3165 | 0.6158 |
Base model
HuggingFaceTB/SmolLM-360M