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README.md

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----
-license: mit
----
+---
+license: other
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: llama3.1-full-girlfriend-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. -->
+
+# llama3.1-full-girlfriend-v2
+
+This model is a fine-tuned version of [/home/llama/zxl_2024/model/Meta-Llama-3.1-8B-Instruct](https://huggingface.co//home/llama/zxl_2024/model/Meta-Llama-3.1-8B-Instruct) on the output_girl_all dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0679
+
+## 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: 1e-06
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.06
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 6.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.6434        | 5.7143 | 200  | 1.0674          |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1