Punith1006/openhermes-mistral-dpo-gptq

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- dpo
+- 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: 0.5935
+- Rewards/chosen: 0.0821
+- Rewards/rejected: -0.1240
+- Rewards/accuracies: 0.875
+- Rewards/margins: 0.2061
+- Logps/rejected: -193.3659
+- Logps/chosen: -263.6407
+- Logits/rejected: -2.0827
+- Logits/chosen: -2.0590
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6737        | 0.01  | 10   | 0.6325          | 0.1116         | -0.0125          | 0.8125             | 0.1241          | -192.2511      | -263.3457    | -2.0830         | -2.0711       |
+| 0.7088        | 0.01  | 20   | 0.5983          | 0.1753         | -0.0556          | 1.0                | 0.2309          | -192.6819      | -262.7091    | -2.0822         | -2.0681       |
+| 0.7333        | 0.01  | 30   | 0.5994          | 0.1257         | -0.0786          | 0.875              | 0.2043          | -192.9118      | -263.2048    | -2.0841         | -2.0637       |
+| 0.7023        | 0.02  | 40   | 0.5838          | 0.1417         | -0.1014          | 0.8125             | 0.2431          | -193.1394      | -263.0449    | -2.0813         | -2.0600       |
+| 0.6754        | 0.03  | 50   | 0.5935          | 0.0821         | -0.1240          | 0.875              | 0.2061          | -193.3659      | -263.6407    | -2.0827         | -2.0590       |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.38.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "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",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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runs/Mar14_05-26-51_813be58f2a39/events.out.tfevents.1710394100.813be58f2a39.17795.0

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special_tokens_map.json

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tokenizer.model

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tokenizer_config.json

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+}

training_args.bin

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