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- library_name: transformers
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- tags: []
 
 
 
 
 
 
 
 
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- # Model Card for Model ID
 
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- ## Model Details
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## How to Get Started with the Model
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+ license: other
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+ library_name: peft
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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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+ base_model: Qwen/Qwen1.5-7B-Chat
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+ model-index:
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+ - name: Qwen1.5-7B-Dutch-Chat-Sft
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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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+ # Qwen1.5-7B-Dutch-Chat-Sft
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+ This model is a fine-tuned version of [Qwen/Qwen1.5-7B-Chat](https://huggingface.co/Qwen/Qwen1.5-7B-Chat) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1756
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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: 0.0003
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+ - train_batch_size: 2
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 32
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+ - total_train_batch_size: 64
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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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+ - lr_scheduler_warmup_ratio: 0.05
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+ - training_steps: 1466
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+ ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.4493 | 0.2 | 146 | 1.4083 |
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+ | 1.3638 | 0.4 | 292 | 1.3213 |
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+ | 1.3146 | 0.6 | 438 | 1.2731 |
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+ | 1.2756 | 0.8 | 584 | 1.2400 |
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+ | 1.2533 | 1.0 | 730 | 1.2165 |
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+ | 1.2388 | 1.19 | 876 | 1.1998 |
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+ | 1.2246 | 1.39 | 1022 | 1.1882 |
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+ | 1.211 | 1.59 | 1168 | 1.1802 |
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+ | 1.204 | 1.79 | 1314 | 1.1763 |
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+ | 1.2041 | 1.99 | 1460 | 1.1756 |
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+ ### Framework versions
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+ - PEFT 0.9.0
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.2
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