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finetuned_gpt2-medium_sst2_negation0.01_pretrainedFalse_epochs3
jhaochenz/finetuned_gpt2-medium_sst2_negation0.01_pretrainedFalse_epochs3
finetuned_gpt2-medium_sst2_negation0.01_pretrainedFalse_epochs3 is a text generation model from jhaochenz. Use it when you need the model to write or continue 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 Generation
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Jan 17, 2023
- Updated
- Jan 17, 2023
- SHA
- 286c4b24
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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. -->
finetuned_gpt2-medium_sst2_negation0.01_pretrainedFalse_epochs3
This model is a fine-tuned version of gpt2-medium on the sst2 dataset. It achieves the following results on the evaluation set:
- Loss: 3.0533
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 2.2826 | 1.0 | 1323 | 2.8903 |
| 1.9713 | 2.0 | 2646 | 2.9835 |
| 1.86 | 3.0 | 3969 | 3.0533 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.7.0
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Jan 17, 2023
- Updated
- Jan 17, 2023