adhi29/openhermes-mistral-dpo-gptq

README.md

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+---
+license: apache-2.0
+base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
+tags:
+- trl
+- dpo
+- 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: 1.3035
+- Rewards/chosen: -0.1587
+- Rewards/rejected: 0.2546
+- Rewards/accuracies: 0.5
+- Rewards/margins: -0.4133
+- Logps/rejected: -174.7579
+- Logps/chosen: -224.3590
+- Logits/rejected: -2.3662
+- Logits/chosen: -2.4097
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6721        | 0.01  | 10   | 0.7773          | 0.0134         | 0.0815           | 0.4375             | -0.0681         | -176.4889      | -222.6381    | -2.3576         | -2.4077       |
+| 0.7142        | 0.01  | 20   | 1.0003          | -0.1104        | 0.1182           | 0.375              | -0.2286         | -176.1221      | -223.8764    | -2.3560         | -2.4059       |
+| 0.7088        | 0.01  | 30   | 1.1927          | -0.1594        | 0.1949           | 0.4375             | -0.3543         | -175.3545      | -224.3664    | -2.3615         | -2.4090       |
+| 0.6932        | 0.02  | 40   | 1.2898          | -0.1780        | 0.2348           | 0.4375             | -0.4128         | -174.9561      | -224.5523    | -2.3625         | -2.4082       |
+| 0.6738        | 0.03  | 50   | 1.3035          | -0.1587        | 0.2546           | 0.5                | -0.4133         | -174.7579      | -224.3590    | -2.3662         | -2.4097       |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.16.1
+- Tokenizers 0.15.0

adapter_config.json

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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,
+  "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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runs/Jan09_01-44-53_4c13d55bdbf0/events.out.tfevents.1704765084.4c13d55bdbf0.9711.0

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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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