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opt-350m-alpaca-TPA-finetuned
Ekrem-the-second/opt-350m-alpaca-TPA-finetuned
opt-350m-alpaca-TPA-finetuned is a summarization model from Ekrem-the-second. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as afl-3.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- afl-3.0
- Model type
- opt
- Access
- Public
- Created
- Jan 7, 2026
- Updated
- Jan 7, 2026
- SHA
- 3426df63
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Base models
Datasets
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. -->
opt-350m-alpaca-TPA-finetuned
This model is a fine-tuned version of facebook/opt-350m on an unknown dataset.
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1
- Task
- Summarization
- Library
- transformers
- Type
- opt
- License
- afl-3.0
- Languages
- en, tr, fr, de
- Created
- Jan 7, 2026
- Updated
- Jan 7, 2026