Vasanth/openhermes-mistral-dpo-gptq

README.md

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+---
+base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
+library_name: peft
+license: apache-2.0
+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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/eslavathvijay63-central-university-of-karnataka/huggingface/runs/2pfbrq3x)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/eslavathvijay63-central-university-of-karnataka/huggingface/runs/2pfbrq3x)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/eslavathvijay63-central-university-of-karnataka/huggingface/runs/2pfbrq3x)
+# 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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+
+## 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: 2
+- eval_batch_size: 16
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.0           | 0.0056 | 10   | nan             |
+| 0.0           | 0.0112 | 20   | nan             |
+| 0.0           | 0.0169 | 30   | nan             |
+| 0.0           | 0.0225 | 40   | nan             |
+| 0.0           | 0.0281 | 50   | nan             |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.42.3
+- Pytorch 2.0.1+cu117
+- Datasets 2.20.0
+- Tokenizers 0.19.1