update model card README.md

README.md

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 ---
-license: apache-2.0
-library_name: peft
 base_model: NousResearch/Llama-2-7b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: llama-2-7b-chat-medical
+  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. -->
+
+# llama-2-7b-chat-medical
+
+This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1590
+
+## 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 0.98  | 31   | 2.0531          |
+| 2.2737        | 2.0   | 63   | 1.2585          |
+| 2.2737        | 2.98  | 94   | 1.1848          |
+| 1.3031        | 3.94  | 124  | 1.1590          |
+
+
 ### Framework versions
 
-- PEFT 0.9.1.dev0
+- Transformers 4.31.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.13.3