Vasanth/openhermes-mistral-dpo-gptq

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: 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: 1.6114
+- Rewards/chosen: -2.4430
+- Rewards/rejected: -1.9061
+- Rewards/accuracies: 0.6875
+- Rewards/margins: -0.5369
+- Logps/rejected: -480.5268
+- Logps/chosen: -519.2752
+- Logits/rejected: -2.5308
+- Logits/chosen: -2.6586
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.7579        | 0.01  | 10   | 0.6551          | 0.1429         | 0.0811           | 0.625              | 0.0618          | -460.6556      | -493.4166    | -2.4845         | -2.6464       |
+| 0.7842        | 0.01  | 20   | 0.6336          | 0.2270         | 0.1016           | 0.875              | 0.1254          | -460.4503      | -492.5753    | -2.5075         | -2.6588       |
+| 1.224         | 0.01  | 30   | 1.4870          | -2.1416        | -1.6612          | 0.75               | -0.4804         | -478.0778      | -516.2612    | -2.5269         | -2.6581       |
+| 9.9606        | 0.02  | 40   | 19.8907         | -23.9174       | -11.8255         | 0.5625             | -12.0919        | -579.7216      | -734.0198    | -2.2514         | -2.3830       |
+| 2.3399        | 0.03  | 50   | 1.6114          | -2.4430        | -1.9061          | 0.6875             | -0.5369         | -480.5268      | -519.2752    | -2.5308         | -2.6586       |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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,
+  "lora_alpha": 8,
+  "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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runs/Nov13_12-41-54_ea8c7de5f3dc/events.out.tfevents.1699879340.ea8c7de5f3dc.302.0

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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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