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t5-small-wikilarge
bogdancazan/t5-small-wikilarge
t5-small-wikilarge is a machine learning model from bogdancazan. 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 6, 2023
- Updated
- Jun 7, 2023
- SHA
- 3b8d8adb
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. -->
t5-small-wikilarge
This model is a fine-tuned version of bogdancazan/t5-small-wikilarge on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4538
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 14
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5854 | 1.0 | 290 | 1.4886 |
| 1.565 | 2.0 | 581 | 1.4795 |
| 1.5606 | 3.0 | 872 | 1.4721 |
| 1.5309 | 4.0 | 1163 | 1.4668 |
| 1.5223 | 5.0 | 1453 | 1.4625 |
| 1.547 | 6.0 | 1744 | 1.4591 |
| 1.5216 | 7.0 | 2035 | 1.4569 |
| 1.5138 | 8.0 | 2326 | 1.4552 |
| 1.5293 | 9.0 | 2616 | 1.4540 |
| 1.5249 | 9.97 | 2900 | 1.4538 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jun 6, 2023
- Updated
- Jun 7, 2023