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update model card README.md

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- library_name: peft
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Training procedure
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  ### Framework versions
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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- - PEFT 0.5.0.dev0
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-
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- - PEFT 0.5.0.dev0
 
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+ license: bigcode-openrail-m
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+ base_model: bigcode/starcoder
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: starcoder-tune-cpp2py-snippet3
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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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+ # starcoder-tune-cpp2py-snippet3
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+
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+ This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3489
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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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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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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: 16
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+ - total_train_batch_size: 16
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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_steps: 50
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+ - training_steps: 500
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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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+ | 0.5147 | 0.1 | 50 | 0.4060 |
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+ | 0.4403 | 0.2 | 100 | 0.3419 |
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+ | 0.425 | 0.3 | 150 | 0.3437 |
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+ | 0.4298 | 0.4 | 200 | 0.3459 |
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+ | 0.4259 | 0.5 | 250 | 0.3480 |
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+ | 0.4167 | 0.6 | 300 | 0.3487 |
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+ | 0.421 | 0.7 | 350 | 0.3485 |
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+ | 0.4289 | 0.8 | 400 | 0.3487 |
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+ | 0.424 | 0.9 | 450 | 0.3489 |
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+ | 0.4163 | 1.0 | 500 | 0.3489 |
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+
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+
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  ### Framework versions
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+ - Transformers 4.32.0.dev0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3