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gpt-2
GANYANG/gpt-2
gpt-2 is a machine learning model from GANYANG. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Apr 26, 2023
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At a glance
- License
- mit
- Access
- Public
- Created
- Apr 12, 2023
- Updated
- Apr 26, 2023
- SHA
- 02cbf52d
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. -->
gpt-2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6604
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.837 | 0.51 | 200 | 1.7257 |
| 1.7602 | 1.03 | 400 | 1.6777 |
| 1.7341 | 1.54 | 600 | 1.6604 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.13.3
- License
- mit
- Created
- Apr 12, 2023
- Updated
- Apr 26, 2023