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GPT2-arithmetic-3digits
Nbeau/GPT2-arithmetic-3digits
GPT2-arithmetic-3digits is a text generation model from Nbeau. 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
- May 16, 2024
- Updated
- May 17, 2024
- SHA
- 4ab7b6ef
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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. -->
GPT2-arithmetic-3digits
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0721
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.116 | 1.0 | 125 | 0.1085 |
| 0.0825 | 2.0 | 250 | 0.0801 |
| 0.0745 | 3.0 | 375 | 0.0740 |
| 0.0733 | 4.0 | 500 | 0.0724 |
| 0.7246 | 5.0 | 625 | 0.1426 |
| 0.0726 | 6.0 | 750 | 0.0721 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- May 16, 2024
- Updated
- May 17, 2024