Vasanth/openhermes-mistral-dpo-gptq

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: 1.0134
+- Rewards/chosen: 7.8160
+- Rewards/rejected: 8.7194
+- Rewards/accuracies: 0.375
+- Rewards/margins: -0.9034
+- Logps/rejected: -146.7816
+- Logps/chosen: -235.0709
+- Logits/rejected: -2.1916
+- Logits/chosen: -2.6628
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6763        | 0.005 | 10   | 0.7302          | 0.0677         | 0.1589           | 0.1875             | -0.0912         | -232.3873      | -312.5545    | -2.1541         | -2.6006       |
+| 0.7076        | 0.01  | 20   | 0.7628          | 0.0161         | 0.1965           | 0.25               | -0.1804         | -232.0109      | -313.0701    | -2.1614         | -2.6040       |
+| 0.6925        | 0.015 | 30   | 0.7999          | 0.1974         | 0.5152           | 0.25               | -0.3179         | -228.8234      | -311.2576    | -2.1717         | -2.6192       |
+| 0.6966        | 0.02  | 40   | 0.8630          | 0.7996         | 1.2680           | 0.3125             | -0.4684         | -221.2960      | -305.2355    | -2.1636         | -2.6203       |
+| 0.6764        | 0.025 | 50   | 1.0134          | 7.8160         | 8.7194           | 0.375              | -0.9034         | -146.7816      | -235.0709    | -2.1916         | -2.6628       |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.19.2
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "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": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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runs/Jun10_14-24-02_34c3c4acf581/events.out.tfevents.1718029576.34c3c4acf581.2574.0

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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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