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rishavranaut/Llama2_13B_Task2_semantic_pred
Llama2_13B_Task2_semantic_pred is a machine learning model from rishavranaut. 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 llama2.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of meta-llama/Llama-2-13b-hf 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 | Accuracy | F1 score | Precision | Recall | Validation Loss |
|---|---|---|---|---|---|---|---|
| 0.4564 | 0.2604 | 200 | 0.8214 | 0.8198 | 0.8311 | 0.8214 | 0.4378 |
| 0.3824 | 0.5208 | 400 | 0.8279 | 0.8279 | 0.8279 | 0.8279 | 0.4660 |
| 0.3609 | 0.7812 | 600 | 0.8631 | 0.8630 | 0.8635 | 0.8631 | 0.3303 |
| 0.3065 | 1.0417 | 800 | 0.8696 | 0.8695 | 0.8724 | 0.8696 | 0.3470 |
| 0.1987 | 1.3021 | 1000 | 0.8722 | 0.8722 | 0.8733 | 0.8722 | 0.3563 |
| 0.2043 | 1.5625 | 1200 | 0.9022 | 0.9020 | 0.9051 | 0.9022 | 0.3349 |
| 0.2193 | 1.8229 | 1400 | 0.8996 | 0.8996 | 0.8997 | 0.8996 | 0.3166 |
| 0.1674 | 2.0833 | 1600 | 0.8931 | 0.8930 | 0.8937 | 0.8931 | 0.3300 |
| 0.1226 | 2.3438 | 1800 | 0.3672 | 0.9087 | 0.9094 | 0.9087 | 0.9087 |
| 0.123 | 2.6042 | 2000 | 0.3862 | 0.9074 | 0.9091 | 0.9074 | 0.9073 |
| 0.0792 | 2.8646 | 2200 | 0.3818 | 0.9087 | 0.9087 | 0.9087 | 0.9087 |