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finetuned
Aleksandra-Aleksandra/finetuned
finetuned is a machine learning model from Aleksandra-Aleksandra. 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jun 4, 2025
- Updated
- Jun 4, 2025
- SHA
- 566c76c2
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. -->
finetuned
This model is a fine-tuned version of Aleksandra-Aleksandra/finetuned on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.5505
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: 20
- seed: 42
- 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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.6699 | 1.0 | 2674 | 6.5961 |
| 6.6454 | 2.0 | 5348 | 6.5608 |
| 6.6194 | 3.0 | 8022 | 6.5505 |
Framework versions
- Transformers 4.52.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jun 4, 2025
- Updated
- Jun 4, 2025