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Hellina/cross_amh
cross_amh is a machine learning model from Hellina. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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.safetensors3.6 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of castorini/afriteva_v2_base 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 | Model Preparation Time | Accuracy |
|---|---|---|---|---|---|
| 1.4008 | 2.2173 | 5000 | 1.0351 | 0.0061 | {'accuracy': 0.17328125} |
| 1.0872 | 4.4346 | 10000 | 0.8747 | 0.0061 | {'accuracy': 0.17896875} |
| 0.9522 | 6.6519 | 15000 | 0.8086 | 0.0061 | {'accuracy': 0.18146875} |
| 0.8673 | 8.8692 | 20000 | 0.7648 | 0.0061 | {'accuracy': 0.183390625} |
| 0.7922 | 11.0865 | 25000 | 0.7456 | 0.0061 | {'accuracy': 0.184375} |
| 0.7608 | 13.3038 | 30000 | 0.7276 | 0.0061 | {'accuracy': 0.18509375} |