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End of training
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README.md
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---
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license: mit
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base_model: FacebookAI/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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model-index:
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- name: STS-Conventional-Fine-Tuning-pipe-roberta-base
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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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# STS-Conventional-Fine-Tuning-pipe-roberta-base
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9623
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- Accuracy: 0.7210
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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: 3e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 113 | 0.7397 | 0.6760 |
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| No log | 2.0 | 226 | 0.7139 | 0.7135 |
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| No log | 3.0 | 339 | 0.7846 | 0.7041 |
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| No log | 4.0 | 452 | 0.8368 | 0.6816 |
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| 0.5292 | 5.0 | 565 | 1.0395 | 0.6873 |
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| 0.5292 | 6.0 | 678 | 1.0863 | 0.7154 |
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| 0.5292 | 7.0 | 791 | 1.2668 | 0.7097 |
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| 0.5292 | 8.0 | 904 | 1.5312 | 0.7135 |
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| 0.1806 | 9.0 | 1017 | 1.6574 | 0.7041 |
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| 0.1806 | 10.0 | 1130 | 1.7880 | 0.7041 |
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| 0.1806 | 11.0 | 1243 | 1.7902 | 0.7116 |
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| 0.1806 | 12.0 | 1356 | 1.9168 | 0.7154 |
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| 0.1806 | 13.0 | 1469 | 1.8637 | 0.7210 |
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| 0.0717 | 14.0 | 1582 | 1.9391 | 0.7210 |
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| 0.0717 | 15.0 | 1695 | 1.9623 | 0.7210 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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