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gpt2_SATACT_v1
Salm00n/gpt2_SATACT_v1
gpt2_SATACT_v1 is a machine learning model from Salm00n. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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.json4.4 MB · 71%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Apr 8, 2025
- Updated
- Apr 8, 2025
- SHA
- 9389d5fc
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_SATACT_v1
This model is a fine-tuned version of openai-community/gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 9.3557
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 2
- total_eval_batch_size: 2
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 15.1603 | 1.0 | 460 | 9.7167 |
| 13.8985 | 2.0 | 920 | 9.5378 |
| 13.4854 | 3.0 | 1380 | 9.4107 |
| 12.8972 | 4.0 | 1840 | 9.3557 |
Framework versions
- PEFT 0.15.1
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Library
- peft
- License
- mit
- Created
- Apr 8, 2025
- Updated
- Apr 8, 2025