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--- |
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license: apache-2.0 |
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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: arXivEdits-intention-classifier-T5-large-coarse |
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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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# Checkpoints for [arXivEdits paper](https://arxiv.org/pdf/2210.15067.pdf). Please see more details at the [github repo](https://github.com/chaojiang06/arXivEdits/tree/main). |
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# arXivEdits-intention-classifier-T5-large-coarse |
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1871 |
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- Accuracy: 0.8607 |
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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: 5e-05 |
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- train_batch_size: 12 |
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- eval_batch_size: 12 |
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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: 10.0 |
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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 | 105 | 0.3619 | 0.3699 | |
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| No log | 2.0 | 210 | 0.1750 | 0.7352 | |
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| No log | 3.0 | 315 | 0.1416 | 0.7922 | |
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| No log | 4.0 | 420 | 0.1225 | 0.8425 | |
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| 0.3579 | 5.0 | 525 | 0.1310 | 0.8516 | |
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| 0.3579 | 6.0 | 630 | 0.1358 | 0.8425 | |
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| 0.3579 | 7.0 | 735 | 0.1605 | 0.8493 | |
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| 0.3579 | 8.0 | 840 | 0.1871 | 0.8607 | |
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| 0.3579 | 9.0 | 945 | 0.1990 | 0.8516 | |
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| 0.054 | 10.0 | 1050 | 0.2134 | 0.8607 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 1.17.0 |
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- Tokenizers 0.11.6 |
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