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jgibb/t-5_small_test_2
t-5_small_test_2 is a machine learning model from jgibb. 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 transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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.safetensors242 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of t5-small on an unknown 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 |
|---|---|---|---|
| No log | 0.13 | 250 | 1.7723 |
| 2.4031 | 0.27 | 500 | 1.6620 |
| 2.4031 | 0.4 | 750 | 1.6179 |
| 1.7662 | 0.53 | 1000 | 1.5910 |
| 1.7662 | 0.66 | 1250 | 1.5770 |
| 1.6967 | 0.8 | 1500 | 1.5624 |
| 1.6967 | 0.93 | 1750 | 1.5509 |
| 1.694 | 1.06 | 2000 | 1.5432 |
| 1.694 | 1.2 | 2250 | 1.5375 |
| 1.6583 | 1.33 | 2500 | 1.5351 |
| 1.6583 | 1.46 | 2750 | 1.5300 |
| 1.676 | 1.6 | 3000 | 1.5274 |
| 1.676 | 1.73 | 3250 | 1.5248 |
| 1.6438 | 1.86 | 3500 | 1.5230 |
| 1.6438 | 1.99 | 3750 | 1.5228 |