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This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M 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 |
|---|---|---|---|
| 1.0715 | 0.0885 | 50 | 1.1590 |
| 1.1176 | 0.1770 | 100 | 1.1241 |
| 1.0683 | 0.2655 | 150 | 1.0955 |
| 1.0537 | 0.3540 | 200 | 1.0797 |
| 1.0467 | 0.4425 | 250 | 1.0705 |
| 1.0347 | 0.5310 | 300 | 1.0615 |
| 1.0088 | 0.6195 | 350 | 1.0548 |
| 1.0121 | 0.7080 | 400 | 1.0508 |
| 1.0266 | 0.7965 | 450 | 1.0426 |
| 1.0817 | 0.8850 | 500 | 1.0337 |
| 0.9961 | 0.9735 | 550 | 1.0283 |
| 0.8062 | 1.0619 | 600 | 1.0331 |
| 0.8166 | 1.1504 | 650 | 1.0299 |
| 0.7581 | 1.2389 | 700 | 1.0311 |
| 0.8606 | 1.3274 | 750 | 1.0285 |
| 0.8147 | 1.4159 | 800 | 1.0249 |
| 0.781 | 1.5044 | 850 | 1.0253 |
| 0.8281 | 1.5929 | 900 | 1.0228 |
| 0.8669 | 1.6814 | 950 | 1.0217 |
| 0.7959 | 1.7699 | 1000 | 1.0215 |