voxmenthe/openhermes-mistral-2.5-7b-dpo-test

README.md

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+---
+license: apache-2.0
+base_model: teknium/OpenHermes-2.5-Mistral-7B
+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 [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5200
+- Rewards/chosen: 0.4462
+- Rewards/rejected: -0.0495
+- Rewards/accuracies: 0.6875
+- Rewards/margins: 0.4958
+- Logps/rejected: -235.5496
+- Logps/chosen: -196.8896
+- Logits/rejected: -3.1546
+- Logits/chosen: -3.2002
+
+## 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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.701         | 0.01  | 10   | 0.6011          | 0.2373         | 0.0723           | 0.375              | 0.1650          | -234.3308      | -198.9786    | -3.1345         | -3.1669       |
+| 0.6827        | 0.01  | 20   | 0.5701          | 0.3490         | -0.0051          | 0.6875             | 0.3541          | -235.1054      | -197.8619    | -3.1513         | -3.1894       |
+| 0.7041        | 0.01  | 30   | 0.5571          | 0.3683         | -0.0432          | 0.6875             | 0.4115          | -235.4866      | -197.6691    | -3.1811         | -3.2466       |
+| 0.7273        | 0.02  | 40   | 0.5295          | 0.4324         | -0.0346          | 0.6875             | 0.4671          | -235.4007      | -197.0275    | -3.1709         | -3.2343       |
+| 0.6139        | 0.03  | 50   | 0.5200          | 0.4462         | -0.0495          | 0.6875             | 0.4958          | -235.5496      | -196.8896    | -3.1546         | -3.2002       |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "teknium/OpenHermes-2.5-Mistral-7B",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 8,
+  "lora_dropout": 0.1,
+  "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.bin

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added_tokens.json

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+  "<|im_start|>": 32001
+}

special_tokens_map.json

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tokenizer.model

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tokenizer_config.json

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+  "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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+  "legacy": true,
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+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "trust_remote_code": false,
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true,
+  "use_fast": true
+}

training_args.bin

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