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GPT2-124M-wikitext-v0.1
dannoncaffeine/GPT2-124M-wikitext-v0.1
GPT2-124M-wikitext-v0.1 is a text generation model from dannoncaffeine. 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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124M
252 GB on disk
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Dec 1, 2023
- Updated
- Dec 2, 2023
- SHA
- 1e03c2ef
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Base models
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. -->
🧠 GPT2-124M-wikitext-v0.1
This model is a fine-tuned version of gpt2 on the wikitext. It achieves the following results on the evaluation set:
- Loss: 2.9841
Model description
This is a practical hands-on experience for better understanding 🤗 Transformers and 🤗 Datasets. This model is GPT2(124M) fine-tuned on wikitext(103-raw-v1) on 1 x RTX 4090.
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 |
|---|---|---|---|
| 3.1335 | 1.0 | 57467 | 3.0363 |
| 3.0643 | 2.0 | 114934 | 2.9968 |
| 3.0384 | 3.0 | 172401 | 2.9841 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Dec 1, 2023
- Updated
- Dec 2, 2023