初始化项目，由ModelHub XC社区提供模型

Model: TachyHealthResearch/Llama2-7B-Medical-Finetune_V2
Source: Original Platform

README.md

@@ -0,0 +1,70 @@
+---
+base_model: meta-llama/Llama-2-7b-chat-hf
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: Llama2-7B-Medical-Finetune_V2
+  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. -->
+
+# Llama2-7B-Medical-Finetune_V2
+
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0369
+
+## 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: 0.00025
+- train_batch_size: 26
+- eval_batch_size: 26
+- seed: 42
+- gradient_accumulation_steps: 26
+- total_train_batch_size: 676
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2907        | 0.3   | 100  | 1.1620          |
+| 1.1355        | 0.59  | 200  | 1.1211          |
+| 1.1063        | 0.89  | 300  | 1.0957          |
+| 1.0724        | 1.19  | 400  | 1.0780          |
+| 1.0489        | 1.49  | 500  | 1.0633          |
+| 1.0359        | 1.78  | 600  | 1.0512          |
+| 1.0228        | 2.08  | 700  | 1.0447          |
+| 0.9924        | 2.38  | 800  | 1.0401          |
+| 0.9906        | 2.68  | 900  | 1.0375          |
+| 0.9863        | 2.97  | 1000 | 1.0369          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.1