leonvanbokhorst/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: 0.5172
+- Rewards/chosen: 0.2719
+- Rewards/rejected: 0.0027
+- Rewards/accuracies: 0.4375
+- Rewards/margins: 0.2692
+- Logps/rejected: -523.3978
+- Logps/chosen: -559.6996
+- Logits/rejected: -1.8608
+- Logits/chosen: -1.7791
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.8935        | 0.01  | 10   | 0.6254          | 0.5705         | 0.2915           | 0.9375             | 0.2790          | -520.5098      | -556.7138    | -1.8760         | -1.8462       |
+| 2.7353        | 0.01  | 20   | 1.4708          | 0.6063         | 2.5173           | 0.25               | -1.9110         | -498.2514      | -556.3558    | -1.9855         | -2.0419       |
+| 3.4601        | 0.01  | 30   | 0.4799          | 5.3762         | 3.1472           | 0.6875             | 2.2289          | -491.9521      | -508.6570    | -1.9445         | -1.9689       |
+| 15.4868       | 0.02  | 40   | 0.4790          | 1.4084         | 0.7478           | 0.6875             | 0.6606          | -515.9464      | -548.3342    | -1.8667         | -1.7981       |
+| 0.4857        | 0.03  | 50   | 0.5172          | 0.2719         | 0.0027           | 0.4375             | 0.2692          | -523.3978      | -559.6996    | -1.8608         | -1.7791       |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.7
+- 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,
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+  "lora_alpha": 16,
+  "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/Nov15_17-14-17_9b166cb22803/events.out.tfevents.1700068486.9b166cb22803.1155.0

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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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