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ECHR_test_2
mpsb00/ECHR_test_2
ECHR_test_2 is a text classification model from mpsb00. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jun 6, 2022
- Updated
- Jun 6, 2022
- SHA
- 2cfbcfb3
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Datasets
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. -->
ECHR_test_2
This model is a fine-tuned version of prajjwal1/bert-tiny on the lex_glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.2487
- Macro-f1: 0.4052
- Micro-f1: 0.5660
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Macro-f1 | Micro-f1 |
|---|---|---|---|---|---|
| 0.2056 | 0.44 | 500 | 0.2846 | 0.3335 | 0.4763 |
| 0.1698 | 0.89 | 1000 | 0.2487 | 0.4052 | 0.5660 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jun 6, 2022
- Updated
- Jun 6, 2022