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daryl_morey_apology
dhudsmith/daryl_morey_apology
daryl_morey_apology is a text classification model from dhudsmith. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Dec 16, 2022
- Updated
- Dec 16, 2022
- SHA
- 7c43bddb
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Model card
From the Hugging Face model README
<!-- 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. -->
daryl_morey_apology
This model is a fine-tuned version of vinai/bertweet-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7634
- Accuracy: 0.7778
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 259 | 0.7589 | 0.7585 |
| 0.8357 | 2.0 | 518 | 0.6771 | 0.7720 |
| 0.8357 | 3.0 | 777 | 0.7151 | 0.7681 |
| 0.4531 | 4.0 | 1036 | 0.7498 | 0.7826 |
| 0.4531 | 5.0 | 1295 | 0.7634 | 0.7778 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Dec 16, 2022
- Updated
- Dec 16, 2022