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distilroberta-tcfd-disclosure
rexarski/distilroberta-tcfd-disclosure
distilroberta-tcfd-disclosure is a text classification model from rexarski. 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
- roberta
- Access
- Public
- Created
- Apr 25, 2023
- Updated
- Sep 29, 2023
- SHA
- c0685c7c
Try a prompt
Base models
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. -->
distilroberta-tcfd-disclosure
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8681
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 5 | 2.3837 |
| 2.3918 | 2.0 | 10 | 2.3787 |
| 2.3918 | 3.0 | 15 | 2.3704 |
| 2.3754 | 4.0 | 20 | 2.3623 |
| 2.3754 | 5.0 | 25 | 2.3396 |
| 2.2976 | 6.0 | 30 | 2.2599 |
| 2.2976 | 7.0 | 35 | 2.1095 |
| 2.0439 | 8.0 | 40 | 2.0184 |
| 2.0439 | 9.0 | 45 | 1.9059 |
| 1.6799 | 10.0 | 50 | 1.8469 |
| 1.6799 | 11.0 | 55 | 1.8089 |
| 1.2948 | 12.0 | 60 | 1.7263 |
| 1.2948 | 13.0 | 65 | 1.7250 |
| 0.9621 | 14.0 | 70 | 1.8106 |
| 0.9621 | 15.0 | 75 | 1.8073 |
| 0.7356 | 16.0 | 80 | 1.8681 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Languages
- en
- Created
- Apr 25, 2023
- Updated
- Sep 29, 2023