LBusser/mistral_dpo0.1

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: 2.2177
+- Rewards/chosen: -4.0177
+- Rewards/rejected: -3.1669
+- Rewards/accuracies: 0.5625
+- Rewards/margins: -0.8508
+- Logps/rejected: -609.4065
+- Logps/chosen: -540.1581
+- Logits/rejected: -0.8963
+- Logits/chosen: -1.0179
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.7105        | 0.01  | 10   | 0.8032          | -0.5208        | -0.1762          | 0.5                | -0.3446         | -579.4993      | -505.1888    | -0.9201         | -1.0572       |
+| 0.6608        | 0.01  | 20   | 1.0717          | -1.5841        | -1.1358          | 0.625              | -0.4482         | -589.0955      | -515.8216    | -0.9135         | -1.0449       |
+| 0.7477        | 0.01  | 30   | 1.0619          | -1.4672        | -1.4134          | 0.5625             | -0.0539         | -591.8709      | -514.6534    | -0.9162         | -1.0480       |
+| 0.7152        | 0.02  | 40   | 1.5518          | -2.5724        | -2.2804          | 0.5625             | -0.2919         | -600.5416      | -525.7047    | -0.9079         | -1.0351       |
+| 0.8106        | 0.03  | 50   | 2.2177          | -4.0177        | -3.1669          | 0.5625             | -0.8508         | -609.4065      | -540.1581    | -0.8963         | -1.0179       |
+
+
+### 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,
+  "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": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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added_tokens.json

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runs/Dec11_09-21-17_70b772f1ab48/events.out.tfevents.1702286504.70b772f1ab48.1669.0

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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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