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End of training

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README.md ADDED
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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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+
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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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+
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+ # SFT_FineTuned_Qwen-7B
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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
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+ "base_model_name_or_path": "Qwen/Qwen1.5-7B",
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+ "peft_type": "LORA",
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+ "r": 32,
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+ "target_modules": [
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+ "v_proj",
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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+ "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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