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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: arXivEdits-intention-classifier-T5-base-fine-grained
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 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).
# arXivEdits-intention-classifier-T5-base-fine-grained
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1457
- Accuracy: 0.6826
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 105 | 0.3043 | 0.2991 |
| No log | 2.0 | 210 | 0.2653 | 0.3311 |
| No log | 3.0 | 315 | 0.2475 | 0.4726 |
| No log | 4.0 | 420 | 0.1737 | 0.6096 |
| 0.5112 | 5.0 | 525 | 0.1660 | 0.6256 |
| 0.5112 | 6.0 | 630 | 0.1499 | 0.6575 |
| 0.5112 | 7.0 | 735 | 0.1497 | 0.6438 |
| 0.5112 | 8.0 | 840 | 0.1457 | 0.6826 |
| 0.5112 | 9.0 | 945 | 0.1470 | 0.6781 |
| 0.151 | 10.0 | 1050 | 0.1428 | 0.6781 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 1.17.0
- Tokenizers 0.11.6
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