Vasanth/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: 0.6066
+- Rewards/chosen: 0.0894
+- Rewards/rejected: -0.0023
+- Rewards/accuracies: 0.5
+- Rewards/margins: 0.0917
+- Logps/rejected: -158.0340
+- Logps/chosen: -152.2324
+- Logits/rejected: -2.3521
+- Logits/chosen: -2.4734
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6778        | 0.01  | 10   | 0.6796          | -0.0179        | -0.0353          | 0.625              | 0.0174          | -158.3634      | -153.3049    | -2.3602         | -2.4849       |
+| 0.7178        | 0.01  | 20   | 0.6321          | 0.0123         | -0.0701          | 0.5625             | 0.0824          | -158.7113      | -153.0028    | -2.3602         | -2.4815       |
+| 0.7263        | 0.01  | 30   | 0.6050          | 0.0538         | -0.0401          | 0.5                | 0.0939          | -158.4116      | -152.5882    | -2.3567         | -2.4779       |
+| 0.6941        | 0.02  | 40   | 0.6047          | 0.0834         | -0.0114          | 0.5                | 0.0948          | -158.1251      | -152.2924    | -2.3545         | -2.4749       |
+| 0.6889        | 0.03  | 50   | 0.6066          | 0.0894         | -0.0023          | 0.5                | 0.0917          | -158.0340      | -152.2324    | -2.3521         | -2.4734       |
+
+
+### 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": [
+    "q_proj",
+    "v_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/Mar16_11-24-03_4323ee5633cd/events.out.tfevents.1710588372.4323ee5633cd.316.0

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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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