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T5-pubmed-3072-epoch2
LA1512/T5-pubmed-3072-epoch2
T5-pubmed-3072-epoch2 is a machine learning model from LA1512. 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 bsd-3-clause.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- bsd-3-clause
- Model type
- longt5
- Access
- Public
- Created
- Jun 2, 2024
- Updated
- Jun 2, 2024
- SHA
- d498d53a
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. -->
results
This model is a fine-tuned version of Quy0412/results on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0867
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 1
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3665 | 0.16 | 200 | 3.1475 |
| 3.3281 | 0.32 | 400 | 3.1312 |
| 3.2417 | 0.48 | 600 | 3.1140 |
| 3.222 | 0.64 | 800 | 3.1001 |
| 3.2687 | 0.8 | 1000 | 3.0912 |
| 3.302 | 0.96 | 1200 | 3.0867 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- longt5
- License
- bsd-3-clause
- Created
- Jun 2, 2024
- Updated
- Jun 2, 2024