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home-batch_9_2000_-text-classification
rorschach-40/home-batch_9_2000_-text-classification
home-batch_9_2000_-text-classification is a text classification model from rorschach-40. 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
- t5
- Access
- Public
- Created
- Mar 20, 2024
- Updated
- Mar 20, 2024
- SHA
- 87ad91b0
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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. -->
home-batch_9_2000_-text-classification
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4043
- Precision: 0.9111
- Recall: 0.8723
- F1: 0.8913
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: 0.0003
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| No log | 1.0 | 25 | 0.2516 | 0.8980 | 0.9362 | 0.9167 |
| No log | 2.0 | 50 | 0.3107 | 0.8846 | 0.9787 | 0.9293 |
| No log | 3.0 | 75 | 0.4043 | 0.9111 | 0.8723 | 0.8913 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- t5
- Created
- Mar 20, 2024
- Updated
- Mar 20, 2024