End of training
Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
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---
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base_model: bigcode/starcoderbase-1b
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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model-index:
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- name: bigcode-starcoderbase-1b-finetuned-defect-detection
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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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# bigcode-starcoderbase-1b-finetuned-defect-detection
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This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5149
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- Accuracy: 0.7523
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- F1: 0.7482
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- Precision: 0.7430
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- Recall: 0.7533
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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: 2e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 4711
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.7604 | 1.0 | 996 | 0.5379 | 0.7144 | 0.6627 | 0.7829 | 0.5745 |
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| 0.4649 | 2.0 | 1992 | 0.4524 | 0.7480 | 0.7585 | 0.7129 | 0.8104 |
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| 0.318 | 3.0 | 2988 | 0.5149 | 0.7523 | 0.7482 | 0.7430 | 0.7533 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
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size 4548876216
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version https://git-lfs.github.com/spec/v1
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size 4548876216
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