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arbitropy/mbart-large-50-bcoqa
mbart-large-50-bcoqa is a machine learning model from arbitropy. 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 mit.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of facebook/mbart-large-50 on the None 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 |
|---|---|---|---|
| 1.8791 | 0.1 | 3500 | 1.7917 |
| 1.579 | 0.2 | 7000 | 1.4741 |
| 1.4918 | 0.3 | 10500 | 1.4246 |
| 1.422 | 0.4 | 14000 | 1.3369 |
| 1.4088 | 0.5 | 17500 | 1.3064 |
| 1.3245 | 0.61 | 21000 | 1.2566 |
| 1.3205 | 0.71 | 24500 | 1.2274 |
| 1.3168 | 0.81 | 28000 | 1.2052 |
| 1.2256 | 0.91 | 31500 | 1.1630 |
| 1.0668 | 1.01 | 35000 | 1.1543 |
| 1.0185 | 1.11 | 38500 | 1.1391 |
| 0.9521 | 1.21 | 42000 | 1.1076 |
| 0.9467 | 1.31 | 45500 | 1.1316 |
| 1.0128 | 1.41 | 49000 | 1.0849 |
| 0.9948 | 1.51 | 52500 | 1.0619 |
| 0.9601 | 1.61 | 56000 | 1.0489 |
| 0.9479 | 1.72 | 59500 | 1.0353 |
| 0.9046 | 1.82 | 63000 | 1.0212 |
| 0.8924 | 1.92 | 66500 | 1.0137 |