aiworks/openhermes-mistral-dpo-gptq
Browse files- README.md +71 -0
- adapter_config.json +26 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +4 -0
- runs/Dec08_15-22-34_f491952f1c4e/events.out.tfevents.1702048966.f491952f1c4e.257.0 +3 -0
- special_tokens_map.json +35 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +64 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
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tags:
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- generated_from_trainer
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model-index:
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- name: openhermes-mistral-dpo-gptq
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# openhermes-mistral-dpo-gptq
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This model is a fine-tuned version of [TheBloke/OpenHermes-2-Mistral-7B-GPTQ](https://huggingface.co/TheBloke/OpenHermes-2-Mistral-7B-GPTQ) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5481
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- Rewards/chosen: -6.3042
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- Rewards/rejected: -6.6831
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- Rewards/accuracies: 0.3125
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- Rewards/margins: 0.3789
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- Logps/rejected: -270.7899
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- Logps/chosen: -222.5794
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- Logits/rejected: -2.0400
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- Logits/chosen: -2.0341
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 2
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- training_steps: 50
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- mixed_precision_training: Native AMP
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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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| 0.6859 | 0.01 | 10 | 0.6666 | 0.0119 | -0.0301 | 0.5 | 0.0419 | -204.2597 | -159.4191 | -2.1849 | -2.1781 |
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| 0.683 | 0.01 | 20 | 0.6372 | 0.0384 | -0.0380 | 0.3125 | 0.0763 | -204.3386 | -159.1542 | -2.1870 | -2.1765 |
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| 0.7067 | 0.01 | 30 | 0.6194 | 0.0592 | -0.0362 | 0.3125 | 0.0954 | -204.3213 | -158.9460 | -2.1880 | -2.1773 |
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| 0.6664 | 0.02 | 40 | 0.6159 | 0.0599 | -0.0264 | 0.3125 | 0.0862 | -204.2225 | -158.9388 | -2.1856 | -2.1759 |
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| 0.786 | 0.03 | 50 | 0.5481 | -6.3042 | -6.6831 | 0.3125 | 0.3789 | -270.7899 | -222.5794 | -2.0400 | -2.0341 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.0.1+cu117
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "TheBloke/OpenHermes-2-Mistral-7B-GPTQ",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 8,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 13648432
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added_tokens.json
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{
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"<|im_end|>": 32000,
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"<|im_start|>": 32001
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}
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runs/Dec08_15-22-34_f491952f1c4e/events.out.tfevents.1702048966.f491952f1c4e.257.0
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special_tokens_map.json
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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tokenizer_config.json
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:14330e10b5a96d8dfd8db5920347796c5364c86751fd362abf4d7d7394a7dbfd
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size 4155
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