Model save

README.md

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+---
+base_model: Qwen/Qwen2-1.5B-Instruct
+library_name: peft
+license: apache-2.0
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: Qwen2-1.5B-Instruct-Function-Calling-v1
+  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. -->
+
+# Qwen2-1.5B-Instruct-Function-Calling-v1
+
+This model is a fine-tuned version of [Qwen/Qwen2-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2-1.5B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2248
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- training_steps: 200
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.4004        | 0.0101 | 20   | 0.4852          |
+| 0.3624        | 0.0201 | 40   | 0.3221          |
+| 0.2855        | 0.0302 | 60   | 0.2818          |
+| 0.2652        | 0.0402 | 80   | 0.2592          |
+| 0.2214        | 0.0503 | 100  | 0.2463          |
+| 0.2471        | 0.0603 | 120  | 0.2358          |
+| 0.2122        | 0.0704 | 140  | 0.2310          |
+| 0.2048        | 0.0804 | 160  | 0.2275          |
+| 0.2406        | 0.0905 | 180  | 0.2251          |
+| 0.2445        | 0.1006 | 200  | 0.2248          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.42.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1