Model save

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen2-VL-7B-Instruct
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: vl_finetuned_model
+  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. -->
+
+# vl_finetuned_model
+
+This model is a fine-tuned version of [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5420
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.7138        | 1.6   | 100  | 0.7499          |
+| 0.5414        | 3.2   | 200  | 0.5696          |
+| 0.4876        | 4.8   | 300  | 0.5466          |
+| 0.5278        | 6.4   | 400  | 0.5430          |
+| 0.4783        | 8.0   | 500  | 0.5420          |
+
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.45.1
+- Pytorch 2.4.0+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0