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vgorce/phi2-samsum
phi2-samsum is a machine learning model from vgorce. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
This model is a fine-tuned version of microsoft/phi-2 on the samsum dataset. It achieves the following results on the evaluation set: - Loss: 2.2606
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From the Hugging Face model README
This model is a fine-tuned version of microsoft/phi-2 on the samsum 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 |
|---|---|---|---|
| 2.7371 | 0.0 | 25 | 2.5507 |
| 2.5853 | 0.01 | 50 | 2.3917 |
| 2.3176 | 0.01 | 75 | 2.3258 |
| 2.3459 | 0.01 | 100 | 2.3066 |
| 2.3003 | 0.02 | 125 | 2.2957 |
| 2.2767 | 0.02 | 150 | 2.2883 |
| 2.2637 | 0.02 | 175 | 2.2835 |
| 2.3387 | 0.03 | 200 | 2.2787 |
| 2.3151 | 0.03 | 225 | 2.2759 |
| 2.1807 | 0.03 | 250 | 2.2767 |
| 2.4122 | 0.04 | 275 | 2.2703 |
| 2.139 | 0.04 | 300 | 2.2680 |
| 2.3887 | 0.04 | 325 | 2.2664 |
| 2.2124 | 0.05 | 350 | 2.2648 |
| 2.2271 | 0.05 | 375 | 2.2649 |
| 2.3335 | 0.05 | 400 | 2.2634 |
| 2.2411 | 0.06 | 425 | 2.2628 |
| 2.4075 | 0.06 | 450 | 2.2619 |
| 2.3136 | 0.06 | 475 | 2.2615 |
| 2.2328 | 0.07 | 500 | 2.2606 |