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---
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base_model: Qwen/Qwen1.5-7B
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library_name: peft
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license: other
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: SFT_FineTuned_Qwen-7B
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# SFT_FineTuned_Qwen-7B |
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This model is a fine-tuned version of [Qwen/Qwen1.5-7B](https://huggingface.co/Qwen/Qwen1.5-7B) on the MatanP/stories-with_custom_prompts dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7424 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.904 | 1.0 | 90 | 1.8201 | |
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| 1.8606 | 2.0 | 180 | 1.7638 | |
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| 1.769 | 3.0 | 270 | 1.7466 | |
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| 1.7389 | 4.0 | 360 | 1.7426 | |
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| 1.7152 | 5.0 | 450 | 1.7422 | |
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| 1.326 | 6.0 | 540 | 1.7424 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu124 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
