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gpt2-finetuned-wikitext2
Azaliya-Vagizova/gpt2-finetuned-wikitext2
gpt2-finetuned-wikitext2 is a text generation model from Azaliya-Vagizova. 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.
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
- Dec 22, 2023
- Updated
- Dec 23, 2023
- SHA
- 8a2974d6
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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 Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
Azaliya-Vagizova/gpt2-finetuned-wikitext2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 6.4957
- Validation Loss: 6.3454
- Epoch: 1
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 7.3148 | 6.7637 | 0 |
| 6.4957 | 6.3454 | 1 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Dec 22, 2023
- Updated
- Dec 23, 2023