KaleDivergence/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: 0.6671
+- Rewards/chosen: -0.4223
+- Rewards/rejected: -1.9854
+- Rewards/accuracies: 0.4375
+- Rewards/margins: 1.5631
+- Logps/rejected: -350.5416
+- Logps/chosen: -220.8451
+- Logits/rejected: -1.7880
+- Logits/chosen: -1.7651
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6968        | 0.01  | 10   | 0.6686          | -0.0503        | -0.0549          | 0.5625             | 0.0046          | -331.2371      | -217.1252    | -1.8320         | -1.8255       |
+| 0.6793        | 0.01  | 20   | 1.7619          | 0.2100         | 3.0956           | 0.3125             | -2.8856         | -299.7324      | -214.5222    | -1.9578         | -1.9436       |
+| 0.6789        | 0.01  | 30   | 0.6364          | -0.2040        | -1.0884          | 0.4375             | 0.8843          | -341.5715      | -218.6622    | -1.8060         | -1.7894       |
+| 0.6966        | 0.02  | 40   | 0.6716          | -0.2823        | -1.4572          | 0.4375             | 1.1749          | -345.2603      | -219.4454    | -1.7994         | -1.7786       |
+| 0.8051        | 0.03  | 50   | 0.6671          | -0.4223        | -1.9854          | 0.4375             | 1.5631          | -350.5416      | -220.8451    | -1.7880         | -1.7651       |
+
+
+### 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",
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+  "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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special_tokens_map.json

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tokenizer_config.json

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training_args.bin

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