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dpt_2
eswardivi/dpt_2
dpt_2 is a text generation model from eswardivi. 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
- Feb 20, 2024
- Updated
- Feb 20, 2024
- SHA
- e4d05ac0
Try a prompt
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. -->
dpt_2
- Loss: 4.5960
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: 4e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- distributed_type: sagemaker_data_parallel
- num_devices: 8
- total_train_batch_size: 512
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 250
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.7672 | 1.55 | 500 | 5.7039 |
| 5.1184 | 3.11 | 1000 | 5.0316 |
| 4.9014 | 4.66 | 1500 | 4.7823 |
| 4.738 | 6.21 | 2000 | 4.6616 |
| 4.681 | 7.76 | 2500 | 4.6100 |
| 4.6872 | 9.32 | 3000 | 4.5960 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.13.3
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Feb 20, 2024
- Updated
- Feb 20, 2024