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weightsGEC
salahyahya/weightsGEC
weightsGEC 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 12, 2024
- Updated
- Jun 13, 2024
- SHA
- a24206a1
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. -->
weightsGEC
This model is a fine-tuned version of salahyahya/weights on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5494
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6105 | 0.48 | 500 | 0.5669 |
| 0.6106 | 0.96 | 1000 | 0.5605 |
| 0.5958 | 1.44 | 1500 | 0.5584 |
| 0.5927 | 1.92 | 2000 | 0.5549 |
| 0.5802 | 2.4 | 2500 | 0.5523 |
| 0.5822 | 2.88 | 3000 | 0.5507 |
| 0.5758 | 3.36 | 3500 | 0.5514 |
| 0.5732 | 3.84 | 4000 | 0.5499 |
| 0.5707 | 4.32 | 4500 | 0.5494 |
| 0.5716 | 4.8 | 5000 | 0.5494 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- Created
- Jun 12, 2024
- Updated
- Jun 13, 2024