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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-Capstone-roberta-base-filtered-137
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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-Capstone-roberta-base-filtered-137
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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: 2.5730
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- Accuracy: 0.7247
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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: 30
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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 | 0.7973 | 0.6573 |
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| No log | 2.0 | 226 | 0.6965 | 0.6948 |
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| No log | 3.0 | 339 | 0.8914 | 0.6891 |
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| No log | 4.0 | 452 | 0.8767 | 0.6948 |
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| 0.5314 | 5.0 | 565 | 0.9786 | 0.6760 |
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| 0.5314 | 6.0 | 678 | 1.1437 | 0.7079 |
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| 0.5314 | 7.0 | 791 | 1.2355 | 0.6966 |
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| 0.5314 | 8.0 | 904 | 1.5219 | 0.7022 |
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| 0.1799 | 9.0 | 1017 | 1.4491 | 0.7041 |
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| 0.1799 | 10.0 | 1130 | 1.6851 | 0.7060 |
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| 0.1799 | 11.0 | 1243 | 1.9943 | 0.7060 |
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| 0.1799 | 12.0 | 1356 | 2.0297 | 0.7060 |
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| 0.1799 | 13.0 | 1469 | 2.0053 | 0.7247 |
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| 0.0712 | 14.0 | 1582 | 1.9966 | 0.7266 |
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| 0.0712 | 15.0 | 1695 | 2.1857 | 0.7097 |
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| 0.0712 | 16.0 | 1808 | 2.2013 | 0.7228 |
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| 0.0712 | 17.0 | 1921 | 2.2569 | 0.7172 |
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| 0.0419 | 18.0 | 2034 | 2.2553 | 0.7172 |
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| 0.0419 | 19.0 | 2147 | 2.3893 | 0.7022 |
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| 0.0419 | 20.0 | 2260 | 2.4651 | 0.7116 |
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| 0.0419 | 21.0 | 2373 | 2.4000 | 0.7135 |
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| 0.0419 | 22.0 | 2486 | 2.5071 | 0.7135 |
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| 0.0241 | 23.0 | 2599 | 2.4959 | 0.7285 |
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| 0.0241 | 24.0 | 2712 | 2.5238 | 0.7191 |
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| 0.0241 | 25.0 | 2825 | 2.5499 | 0.7285 |
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| 0.0241 | 26.0 | 2938 | 2.5826 | 0.7247 |
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| 0.0088 | 27.0 | 3051 | 2.6062 | 0.7228 |
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| 0.0088 | 28.0 | 3164 | 2.5904 | 0.7154 |
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| 0.0088 | 29.0 | 3277 | 2.5756 | 0.7228 |
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| 0.0088 | 30.0 | 3390 | 2.5730 | 0.7247 |
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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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version https://git-lfs.github.com/spec/v1
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size 498615900
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size 498615900
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runs/Mar31_15-13-28_585e70ba99a4/events.out.tfevents.1711898010.585e70ba99a4.247.0
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size
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size 16250
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