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: 15.0898
+- Rewards/chosen: -39.8716
+- Rewards/rejected: -3.6932
+- Rewards/accuracies: 0.1875
+- Rewards/margins: -36.1783
+- Logps/rejected: -252.6567
+- Logps/chosen: -699.3276
+- Logits/rejected: -1.1624
+- Logits/chosen: -1.4009
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6897        | 0.01  | 10   | 0.6981          | -0.0237        | -0.0260          | 0.4375             | 0.0023          | -215.9846      | -300.8488    | -1.8495         | -2.0704       |
+| 0.685         | 0.01  | 20   | 0.6805          | -0.0489        | -0.0934          | 0.5                | 0.0446          | -216.6584      | -301.1003    | -1.8466         | -2.0623       |
+| 0.7153        | 0.01  | 30   | 0.6583          | 0.0084         | -0.1588          | 0.5                | 0.1672          | -217.3122      | -300.5275    | -1.8462         | -2.0615       |
+| 0.7148        | 0.02  | 40   | 14.5562         | -38.4731       | -3.6173          | 0.25               | -34.8558        | -251.8970      | -685.3425    | -1.1606         | -1.4120       |
+| 0.8198        | 0.03  | 50   | 15.0898         | -39.8716       | -3.6932          | 0.1875             | -36.1783        | -252.6567      | -699.3276    | -1.1624         | -1.4009       |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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,
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+  "lora_alpha": 8,
+  "lora_dropout": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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added_tokens.json

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runs/Dec02_01-08-28_7431b27b4034/events.out.tfevents.1701479340.7431b27b4034.175.0

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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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