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percymamedy/bart-cnn-samsum-peft
bart-cnn-samsum-peft is a machine learning model from percymamedy. 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.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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15% of all-time downloads
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.safetensors18.9 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of percymamedy/bart-cnn-samsum-finetuned on the samsum dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.078 | 1.0 | 19 | 0.1347 |
| 0.0865 | 2.0 | 38 | 0.1346 |
| 0.0768 | 3.0 | 57 | 0.1345 |
| 0.0789 | 4.0 | 76 | 0.1344 |
| 0.0914 | 5.0 | 95 | 0.1344 |
| 0.0835 | 6.0 | 114 | 0.1343 |
| 0.0865 | 7.0 | 133 | 0.1343 |
| 0.0806 | 8.0 | 152 | 0.1343 |
| 0.0884 | 9.0 | 171 | 0.1343 |
| 0.0934 | 10.0 | 190 | 0.1343 |