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causal
qianyihuang1203/causal
causal is a text generation model from qianyihuang1203. 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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125M
4 GB on disk
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.safetensors501 MB · 99%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- gpt_neo
- Access
- Public
- Created
- Apr 26, 2024
- Updated
- Apr 26, 2024
- SHA
- 684a4a52
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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. -->
causal
This model is a fine-tuned version of EleutherAI/gpt-neo-125M on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 3.6742
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6553 | 1.0 | 1310 | 3.6762 |
| 3.5026 | 2.0 | 2620 | 3.6723 |
| 3.4328 | 3.0 | 3930 | 3.6742 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- gpt_neo
- License
- mit
- Created
- Apr 26, 2024
- Updated
- Apr 26, 2024