mistral_dpo_pt

README.md

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+---
+license: apache-2.0
+base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
+tags:
+- generated_from_trainer
+model-index:
+- name: mistral-dpo
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# mistral-dpo
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.6931
+- Rewards/chosen: 0.0156
+- Rewards/rejected: 0.0156
+- Rewards/accuracies: 0.0
+- Rewards/margins: 0.0
+- Logps/rejected: -165.4536
+- Logps/chosen: -165.4536
+- Logits/rejected: -1.7890
+- Logits/chosen: -1.7890
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- training_steps: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6931        | 0.01  | 10   | 0.6931          | 0.0246         | 0.0246           | 0.0                | 0.0             | -165.3638      | -165.3638    | -1.7889         | -1.7889       |
+| 0.6931        | 0.01  | 20   | 0.6931          | 0.0133         | 0.0133           | 0.0                | 0.0             | -165.4770      | -165.4770    | -1.7895         | -1.7895       |
+| 0.6931        | 0.01  | 30   | 0.6931          | 0.0060         | 0.0060           | 0.0                | 0.0             | -165.5494      | -165.5494    | -1.7923         | -1.7923       |
+| 0.6931        | 0.02  | 40   | 0.6931          | 0.0063         | 0.0063           | 0.0                | 0.0             | -165.5464      | -165.5464    | -1.7897         | -1.7897       |
+| 0.6931        | 0.03  | 50   | 0.6931          | 0.0156         | 0.0156           | 0.0                | 0.0             | -165.4536      | -165.4536    | -1.7890         | -1.7890       |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

adapter_config.json

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+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 0.1,
+  "lora_dropout": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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added_tokens.json

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+  "<|im_start|>": 32001
+}

runs/Nov26_01-13-52_9868552db0a9/events.out.tfevents.1700961395.9868552db0a9.263.0

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special_tokens_map.json

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tokenizer.model

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tokenizer_config.json

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+}

training_args.bin

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