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: 10.4812
+- Rewards/chosen: -34.3483
+- Rewards/rejected: -10.5927
+- Rewards/accuracies: 0.4375
+- Rewards/margins: -23.7556
+- Logps/rejected: -369.0945
+- Logps/chosen: -652.6519
+- Logits/rejected: -1.9434
+- Logits/chosen: -2.1850
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.785         | 0.01  | 10   | 0.6767          | 0.0342         | 0.0037           | 0.5625             | 0.0305          | -263.1300      | -308.8264    | -2.4042         | -2.7773       |
+| 0.988         | 0.01  | 20   | 0.6634          | 0.1443         | -0.0047          | 0.75               | 0.1490          | -263.2147      | -307.7260    | -2.4189         | -2.7870       |
+| 0.9481        | 0.01  | 30   | 10.5125         | -35.0203       | -10.9252         | 0.4375             | -24.0951        | -372.4191      | -659.3712    | -1.9468         | -2.1781       |
+| 10.47         | 0.02  | 40   | 17.8422         | -55.0969       | -26.2159         | 0.375              | -28.8810        | -525.3258      | -860.1373    | -1.6618         | -1.8474       |
+| 2.5456        | 0.03  | 50   | 10.4812         | -34.3483       | -10.5927         | 0.4375             | -23.7556        | -369.0945      | -652.6519    | -1.9434         | -2.1850       |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+{
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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,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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added_tokens.json

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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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