DPO-Mistral-7B

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
+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: 1.5203
+- Rewards/chosen: 4.8953
+- Rewards/rejected: -6.8710
+- Rewards/accuracies: 0.875
+- Rewards/margins: 11.7663
+- Logps/rejected: -512.2221
+- Logps/chosen: -446.3599
+- Logits/rejected: -2.4853
+- Logits/chosen: -2.3998
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6384        | 0.025 | 10   | 0.9029          | 0.3196         | -0.5976          | 0.8125             | 0.9171          | -449.4874      | -492.1170    | -2.5249         | -2.3642       |
+| 0.0586        | 0.05  | 20   | 1.6495          | 2.8410         | -4.2864          | 0.8125             | 7.1274          | -486.3763      | -466.9029    | -2.5061         | -2.3959       |
+| 0.0116        | 0.075 | 30   | 1.5584          | 4.2892         | -6.0162          | 0.8125             | 10.3053         | -503.6734      | -452.4211    | -2.4984         | -2.4059       |
+| 1.7733        | 0.1   | 40   | 1.5091          | 4.7449         | -6.6237          | 0.8125             | 11.3687         | -509.7491      | -447.8633    | -2.4894         | -2.4020       |
+| 0.0           | 0.125 | 50   | 1.5203          | 4.8953         | -6.8710          | 0.875              | 11.7663         | -512.2221      | -446.3599    | -2.4853         | -2.3998       |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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,
+  "layer_replication": null,
+  "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_dora": false,
+  "use_rslora": false
+}

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added_tokens.json

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special_tokens_map.json

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tokenizer_config.json

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training_args.bin

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