Model save

README.md

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+---
+license: apache-2.0
+base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: openhermes-mistral-dpo-gptq
+  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. -->
+
+# openhermes-mistral-dpo-gptq
+
+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: 0.6263
+- Rewards/chosen: -0.0419
+- Rewards/rejected: -0.1856
+- Rewards/accuracies: 0.5625
+- Rewards/margins: 0.1437
+- Logps/rejected: -169.1274
+- Logps/chosen: -139.4402
+- Logits/rejected: -2.6656
+- Logits/chosen: -2.5687
+
+## 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6834        | 0.01  | 10   | 0.6649          | 0.0151         | -0.0616          | 0.5625             | 0.0767          | -167.8872      | -138.8696    | -2.6724         | -2.5716       |
+| 0.7219        | 0.01  | 20   | 0.6488          | -0.0027        | -0.1058          | 0.5625             | 0.1031          | -168.3291      | -139.0479    | -2.6744         | -2.5786       |
+| 0.6291        | 0.01  | 30   | 0.6288          | -0.0063        | -0.1419          | 0.5625             | 0.1356          | -168.6900      | -139.0838    | -2.6708         | -2.5765       |
+| 0.6577        | 0.02  | 40   | 0.6274          | -0.0383        | -0.1752          | 0.5625             | 0.1369          | -169.0232      | -139.4038    | -2.6673         | -2.5710       |
+| 0.691         | 0.03  | 50   | 0.6263          | -0.0419        | -0.1856          | 0.5625             | 0.1437          | -169.1274      | -139.4402    | -2.6656         | -2.5687       |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.17.0
+- Tokenizers 0.15.1

adapter_config.json

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+  "base_model_name_or_path": "TheBloke/OpenHermes-2-Mistral-7B-GPTQ",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 8,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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runs/Feb09_22-14-29_d347c2f7288a/events.out.tfevents.1707517278.d347c2f7288a.192.0

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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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