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--- |
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license: apache-2.0 |
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datasets: |
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- Intel/orca_dpo_pairs |
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- Locutusque/Hercules-v3.0 |
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language: |
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- en |
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inference: |
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parameters: |
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do_sample: true |
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temperature: 0.8 |
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top_p: 0.95 |
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top_k: 40 |
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min_new_tokens: 2 |
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max_new_tokens: 250 |
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repetition_penalty: 1.1 |
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--- |
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# NeuralReyna-Mini-1.8B-v0.2 |
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# Description |
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Taken aloobun/Reyna-Mini-1.8B-v0.2 and further fine-tuned it using DPO using the Intel/orca_dpo_pairs dataset. |
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This model has capabilities in coding, math, science, roleplay, and function calling. |
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This model was trained on OpenAI's ChatML prompt format. |
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# Evaluation |
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AGIEval: |
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GPT4ALL: |
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| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr| |
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|-------------|------:|------|-----:|--------|-----:|---|-----:| |
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|arc_challenge| 1|none | 0|acc |0.3208|± |0.0136| |
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| | |none | 0|acc_norm|0.3336|± |0.0138| |
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|arc_easy | 1|none | 0|acc |0.6035|± |0.0100| |
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| | |none | 0|acc_norm|0.5833|± |0.0101| |
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|boolq | 2|none | 0|acc |0.6526|± |0.0083| |
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|hellaswag | 1|none | 0|acc |0.4556|± |0.0050| |
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| | |none | 0|acc_norm|0.6076|± |0.0049| |
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|openbookqa | 1|none | 0|acc |0.2600|± |0.0196| |
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| | |none | 0|acc_norm|0.3460|± |0.0213| |
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|piqa | 1|none | 0|acc |0.7236|± |0.0104| |
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| | |none | 0|acc_norm|0.7307|± |0.0104| |
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|winogrande | 1|none | 0|acc |0.6062|± |0.0137| |
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# Disclaimer |
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This model may have overfitted to the DPO training data, and may not perform well. |
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# Contributions |
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Thanks to @aloobun and @Locutusque for their contributions to this model. |