Model save

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen2.5-7B-Instruct
+tags:
+- llama-factory
+- generated_from_trainer
+model-index:
+- name: Qwen2.5-7B-Instruct-PsyCourse-doc-fold7
+  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. -->
+
+# Qwen2.5-7B-Instruct-PsyCourse-doc-fold7
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1027
+
+## 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: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.2238        | 0.3951 | 10   | 0.2172          |
+| 0.0965        | 0.7901 | 20   | 0.1523          |
+| 0.1337        | 1.1852 | 30   | 0.1231          |
+| 0.0717        | 1.5802 | 40   | 0.1139          |
+| 0.1129        | 1.9753 | 50   | 0.1094          |
+| 0.0416        | 2.3704 | 60   | 0.1061          |
+| 0.0564        | 2.7654 | 70   | 0.1052          |
+| 0.1234        | 3.1605 | 80   | 0.1038          |
+| 0.0923        | 3.5556 | 90   | 0.1033          |
+| 0.0648        | 3.9506 | 100  | 0.1033          |
+| 0.0595        | 4.3457 | 110  | 0.1029          |
+| 0.1126        | 4.7407 | 120  | 0.1027          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.46.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

adapter_model.safetensors

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