ramnathv/openhermes-mistral-dpo-gptq

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- 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: 0.6173
+- Rewards/chosen: 12.3662
+- Rewards/rejected: 8.3268
+- Rewards/accuracies: 0.875
+- Rewards/margins: 4.0394
+- Logps/rejected: -284.7693
+- Logps/chosen: -270.0549
+- Logits/rejected: -2.4409
+- Logits/chosen: -2.6955
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6874        | 0.01  | 10   | 0.6396          | 0.0822         | -0.0086          | 0.5625             | 0.0908          | -368.1237      | -392.8953    | -2.2951         | -2.4730       |
+| 0.7988        | 0.01  | 20   | 0.5694          | 1.1019         | 0.5787           | 0.875              | 0.5232          | -362.2504      | -382.6982    | -2.2767         | -2.5084       |
+| 0.6368        | 0.01  | 30   | 0.5572          | 11.3452        | 7.2855           | 0.875              | 4.0597          | -295.1821      | -280.2652    | -2.4358         | -2.6872       |
+| 1.6793        | 0.02  | 40   | 0.5216          | 11.9759        | 7.8540           | 0.9375             | 4.1220          | -289.4976      | -273.9581    | -2.4389         | -2.6947       |
+| 4.9001        | 0.03  | 50   | 0.6173          | 12.3662        | 8.3268           | 0.875              | 4.0394          | -284.7693      | -270.0549    | -2.4409         | -2.6955       |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

adapter_config.json

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+  "alpha_pattern": {},
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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"
+}

adapter_model.safetensors

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added_tokens.json

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runs/Dec21_18-53-15_773fcba7ee3c/events.out.tfevents.1703184868.773fcba7ee3c.186.0

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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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