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tiny-mlm-rotten_tomatoes-from-scratch-target-rotten_tomatoes
muhtasham/tiny-mlm-rotten_tomatoes-from-scratch-target-rotten_tomatoes
tiny-mlm-rotten_tomatoes-from-scratch-target-rotten_tomatoes is a text classification model from muhtasham. 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
- bert
- Access
- Public
- Created
- Jan 23, 2023
- Updated
- Jan 23, 2023
- SHA
- 4948c668
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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. -->
tiny-mlm-rotten_tomatoes-from-scratch-target-rotten_tomatoes
This model is a fine-tuned version of muhtasham/tiny-mlm-rotten_tomatoes-from-scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2007
- Accuracy: 0.7486
- F1: 0.7484
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6844 | 1.87 | 500 | 0.6780 | 0.5797 | 0.5680 |
| 0.6154 | 3.75 | 1000 | 0.6297 | 0.6651 | 0.6632 |
| 0.4606 | 5.62 | 1500 | 0.5943 | 0.7223 | 0.7223 |
| 0.3603 | 7.49 | 2000 | 0.5994 | 0.7477 | 0.7472 |
| 0.2853 | 9.36 | 2500 | 0.6502 | 0.7505 | 0.7505 |
| 0.2326 | 11.24 | 3000 | 0.7647 | 0.7542 | 0.7523 |
| 0.182 | 13.11 | 3500 | 0.8370 | 0.7458 | 0.7454 |
| 0.1504 | 14.98 | 4000 | 0.9165 | 0.7552 | 0.7551 |
| 0.1195 | 16.85 | 4500 | 1.0221 | 0.7589 | 0.7586 |
| 0.104 | 18.73 | 5000 | 1.2007 | 0.7486 | 0.7484 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jan 23, 2023
- Updated
- Jan 23, 2023