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tiny-mlm-wikitext-from-scratch-custom-tokenizer-target-rotten_tomatoes
muhtasham/tiny-mlm-wikitext-from-scratch-custom-tokenizer-target-rotten_tomatoes
tiny-mlm-wikitext-from-scratch-custom-tokenizer-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 20, 2023
- Updated
- Jan 20, 2023
- SHA
- 81e7464d
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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-wikitext-from-scratch-custom-tokenizer-target-rotten_tomatoes
This model is a fine-tuned version of muhtasham/tiny-mlm-wikitext-from-scratch-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0725
- Accuracy: 0.7420
- F1: 0.7416
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 |
|---|---|---|---|---|---|
| 0.6933 | 1.87 | 500 | 0.6923 | 0.5103 | 0.3635 |
| 0.6516 | 3.75 | 1000 | 0.6342 | 0.6510 | 0.6496 |
| 0.4892 | 5.62 | 1500 | 0.6335 | 0.6886 | 0.6878 |
| 0.3871 | 7.49 | 2000 | 0.6644 | 0.7092 | 0.7082 |
| 0.3034 | 9.36 | 2500 | 0.7227 | 0.7223 | 0.7220 |
| 0.2343 | 11.24 | 3000 | 0.7805 | 0.7383 | 0.7381 |
| 0.192 | 13.11 | 3500 | 0.8509 | 0.7467 | 0.7463 |
| 0.154 | 14.98 | 4000 | 0.9518 | 0.7402 | 0.7401 |
| 0.132 | 16.85 | 4500 | 1.0870 | 0.7223 | 0.7199 |
| 0.1148 | 18.73 | 5000 | 1.0725 | 0.7420 | 0.7416 |
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 20, 2023
- Updated
- Jan 20, 2023