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--- |
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license: apache-2.0 |
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base_model: one-man-army/una-neural-chat-v3-3-P1-OMA |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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datasets: |
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- allenai/ultrafeedback_binarized_cleaned |
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model-index: |
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- name: una-neural-chat-v3-3-P2 |
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results: [] |
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--- |
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OMA, OneManArmy presents, `una-neural-chat-v3-3` **PHASE 2**. Powered by UNA (Uniform Neural Alignment), using zephyr trainer, allenai/ultrafeedback cleaned.. and JUST THAT. |
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Outperforming its base model, not adding any data.. just UNA Algorythm on Transformers Lib. |
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UNA Settings: |
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* MLP : 0.05 |
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* ATT : 0.03 |
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* LNOR : 0.02 |
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# una-neural-chat-v3-3-phase2 |
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This model is a fine-tuned version of [Intel/neural-chat-7b-v3-3](https://huggingface.co/Intel/neural-chat-7b-v3-3) on the allenai/ultrafeedback_binarized_cleaned dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4524 |
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- Rewards/chosen: -0.7101 |
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- Rewards/rejected: -2.0953 |
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- Rewards/accuracies: 0.7831 |
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- Rewards/margins: 1.3852 |
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- Logps/rejected: -321.5471 |
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- Logps/chosen: -327.5048 |
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- Logits/rejected: -2.6445 |
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- Logits/chosen: -2.6674 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.5431 | 0.2 | 380 | 0.4900 | -0.6823 | -1.6613 | 0.7607 | 0.9790 | -317.2069 | -327.2263 | -2.6478 | -2.6651 | |
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| 0.4369 | 0.4 | 760 | 0.4783 | -0.7562 | -2.1298 | 0.7719 | 1.3737 | -321.8924 | -327.9652 | -2.7370 | -2.7562 | |
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| 0.4005 | 0.6 | 1140 | 0.4697 | -0.6913 | -2.0134 | 0.7770 | 1.3221 | -320.7278 | -327.3167 | -2.7067 | -2.7224 | |
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| 0.3759 | 0.8 | 1520 | 0.4568 | -0.7387 | -2.0643 | 0.7882 | 1.3256 | -321.2370 | -327.7909 | -2.6626 | -2.6829 | |
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| 0.5213 | 1.0 | 1900 | 0.4524 | -0.7101 | -2.0953 | 0.7831 | 1.3852 | -321.5471 | -327.5048 | -2.6445 | -2.6674 | |
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### Framework versions |
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- Transformers 4.35.0-UNA |
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- Pytorch 2.1.0 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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