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weightsGECLarge
salahyahya/weightsGECLarge
weightsGECLarge is a machine learning model from salahyahya. 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 transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Jun 13, 2024
- Updated
- Jun 13, 2024
- SHA
- 28a72c95
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. -->
weightsGECLarge
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4779
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
- gradient_accumulation_steps: 6
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4888 | 0.24 | 500 | 0.4940 |
| 0.4823 | 0.48 | 1000 | 0.4880 |
| 0.4941 | 0.72 | 1500 | 0.4820 |
| 0.5261 | 0.96 | 2000 | 0.4779 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- Created
- Jun 13, 2024
- Updated
- Jun 13, 2024