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End of training
Browse files- README.md +68 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: mit
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base_model: roberta-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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- f1
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model-index:
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- name: roberta-issue-classifier
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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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# roberta-issue-classifier
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0945
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- Accuracy: 0.9844
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- F1: 0.9844
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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: 16
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- eval_batch_size: 16
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- seed: 42
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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: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.5661 | 0.625 | 100 | 0.4350 | 0.9437 | 0.9436 |
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| 0.112 | 1.25 | 200 | 0.1488 | 0.975 | 0.9750 |
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| 0.0335 | 1.875 | 300 | 0.1262 | 0.9781 | 0.9781 |
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| 0.1009 | 2.5 | 400 | 0.1328 | 0.9781 | 0.9781 |
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| 0.032 | 3.125 | 500 | 0.0945 | 0.9844 | 0.9844 |
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| 0.0074 | 3.75 | 600 | 0.0944 | 0.9781 | 0.9781 |
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### Framework versions
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- Transformers 4.45.1
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- Pytorch 2.4.0
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 506481248
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version https://git-lfs.github.com/spec/v1
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size 506481248
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