End of training
Browse files- README.md +73 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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base_model: microsoft/graphcodebert-base
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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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model-index:
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- name: my-graphcodebert-base-RQ3
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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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# my-graphcodebert-base-RQ3
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This model is a fine-tuned version of [microsoft/graphcodebert-base](https://huggingface.co/microsoft/graphcodebert-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4197
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- Accuracy: 0.9513
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- F1 Macro: 0.6895
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- F1 Weighted: 0.9511
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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: 64
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 0.1
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- num_epochs: 10
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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 Macro | F1 Weighted |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|
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| 0.3556 | 1.0 | 539 | 0.3573 | 0.9436 | 0.3387 | 0.9352 |
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| 0.3178 | 2.0 | 1078 | 0.3333 | 0.9459 | 0.3941 | 0.9413 |
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| 0.2589 | 3.0 | 1617 | 0.2949 | 0.9534 | 0.6361 | 0.9518 |
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| 0.2113 | 4.0 | 2156 | 0.3036 | 0.9547 | 0.6780 | 0.9538 |
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| 0.1632 | 5.0 | 2695 | 0.3192 | 0.9524 | 0.6887 | 0.9523 |
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| 0.1509 | 6.0 | 3234 | 0.3477 | 0.9517 | 0.6907 | 0.9518 |
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| 0.1121 | 7.0 | 3773 | 0.3664 | 0.9522 | 0.6894 | 0.9523 |
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| 0.1027 | 8.0 | 4312 | 0.4085 | 0.9513 | 0.6789 | 0.9517 |
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| 0.0791 | 9.0 | 4851 | 0.4144 | 0.9513 | 0.6771 | 0.9512 |
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| 0.0916 | 10.0 | 5390 | 0.4197 | 0.9513 | 0.6895 | 0.9511 |
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.8.3
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- Tokenizers 0.22.2
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model.safetensors
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size 498625104
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version https://git-lfs.github.com/spec/v1
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size 498625104
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