Saahil1801/openhermes-mistral-dpo-gptq

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: 0.6599
+- Rewards/chosen: 0.0397
+- Rewards/rejected: -0.0752
+- Rewards/accuracies: 0.9375
+- Rewards/margins: 0.1149
+- Logps/rejected: -164.5962
+- Logps/chosen: -292.6904
+- Logits/rejected: -2.6901
+- Logits/chosen: -2.3670
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6819        | 0.01  | 10   | 0.6600          | 0.0491         | -0.0050          | 1.0                | 0.0540          | -163.8940      | -292.5971    | -2.6930         | -2.3675       |
+| 0.7106        | 0.01  | 20   | 0.6787          | 0.0460         | 0.0162           | 0.5625             | 0.0298          | -163.6827      | -292.6277    | -2.6971         | -2.3713       |
+| 0.6487        | 0.01  | 30   | 0.6889          | 0.0454         | -0.0002          | 0.8125             | 0.0456          | -163.8460      | -292.6334    | -2.6960         | -2.3700       |
+| 0.5981        | 0.02  | 40   | 0.6718          | 0.0307         | -0.0583          | 0.9375             | 0.0890          | -164.4272      | -292.7806    | -2.6928         | -2.3685       |
+| 0.6573        | 0.03  | 50   | 0.6599          | 0.0397         | -0.0752          | 0.9375             | 0.1149          | -164.5962      | -292.6904    | -2.6901         | -2.3670       |
+
+
+### 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": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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runs/Feb09_11-28-57_5f9440a40e08/events.out.tfevents.1707478163.5f9440a40e08.3016.0

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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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