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2c6-reward
DownwardSpiral33/2c6-reward
2c6-reward is a text classification model from DownwardSpiral33. 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
- gpt2
- Access
- Public
- Created
- Jun 7, 2024
- Updated
- Jun 7, 2024
- SHA
- f70eff70
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Base models
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. -->
2c6-reward
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3850
- Accuracy: 0.8255
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: 1.41e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 100
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6638 | 0.1802 | 100 | 0.6210 | 0.6658 |
| 0.4826 | 0.3604 | 200 | 0.4749 | 0.7711 |
| 0.4566 | 0.5405 | 300 | 0.4489 | 0.7847 |
| 0.4471 | 0.7207 | 400 | 0.4414 | 0.7875 |
| 0.4399 | 0.9009 | 500 | 0.4287 | 0.7950 |
| 0.4295 | 1.0811 | 600 | 0.4238 | 0.7989 |
| 0.4099 | 1.2613 | 700 | 0.4168 | 0.8010 |
| 0.4154 | 1.4414 | 800 | 0.4109 | 0.8069 |
| 0.4233 | 1.6216 | 900 | 0.4071 | 0.8106 |
| 0.4013 | 1.8018 | 1000 | 0.4013 | 0.8144 |
| 0.4003 | 1.9820 | 1100 | 0.3996 | 0.8115 |
| 0.3778 | 2.1622 | 1200 | 0.4000 | 0.8140 |
| 0.3764 | 2.3423 | 1300 | 0.3942 | 0.8171 |
| 0.3767 | 2.5225 | 1400 | 0.3943 | 0.8195 |
| 0.3649 | 2.7027 | 1500 | 0.3902 | 0.8190 |
| 0.3612 | 2.8829 | 1600 | 0.3850 | 0.8255 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Jun 7, 2024
- Updated
- Jun 7, 2024