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IceBERT-finetuned
ueb1/IceBERT-finetuned
IceBERT-finetuned is a text classification model from ueb1. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as gpl-3.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- gpl-3.0
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Nov 23, 2021
- SHA
- 5fbffbfe
Try a prompt
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. -->
IceBERT-finetuned
This model is a fine-tuned version of vesteinn/IceBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7361
- Accuracy: 0.352
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 |
|---|---|---|---|---|
| 4.5309 | 1.0 | 563 | 4.1093 | 0.329 |
| 3.9723 | 2.0 | 1126 | 3.8339 | 0.344 |
| 3.6949 | 3.0 | 1689 | 3.7490 | 0.346 |
| 3.5124 | 4.0 | 2252 | 3.7488 | 0.358 |
| 3.3763 | 5.0 | 2815 | 3.7361 | 0.352 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 1.15.1
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- gpl-3.0
- Created
- Mar 2, 2022
- Updated
- Nov 23, 2021