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t5-base_rte_dense_sp0_ar0
thrunlab/t5-base_rte_dense_sp0_ar0
t5-base_rte_dense_sp0_ar0 is a text classification model from thrunlab. Use it when you need a label for a piece of text. 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
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Oct 27, 2023
- Updated
- Oct 27, 2023
- SHA
- 5dac4c4e
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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. -->
t5-base_rte_dense_sp0_ar0
This model is a fine-tuned version of t5-base on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.9086
- Accuracy: 0.0
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: 8
- eval_batch_size: 16
- seed: 1
- gradient_accumulation_steps: 2
- 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: 20
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6787 | 0.16 | 25 | 0.6850 | 0.5307 |
| 0.7034 | 0.32 | 50 | 0.6689 | 0.5704 |
| 0.6478 | 0.48 | 75 | 0.6356 | 0.6570 |
| 0.6889 | 0.64 | 100 | 0.6188 | 0.6859 |
| 0.588 | 0.8 | 125 | 0.5892 | 0.6859 |
| 0.5989 | 0.96 | 150 | 0.6802 | 0.6606 |
| 0.5392 | 1.12 | 175 | 0.5836 | 0.7329 |
| 0.5497 | 1.28 | 200 | 0.6758 | 0.6715 |
| 0.5567 | 1.44 | 225 | 0.7056 | 0.6643 |
| 0.5063 | 1.6 | 250 | 0.5617 | 0.7401 |
| 0.5644 | 1.76 | 275 | 0.5737 | 0.7256 |
| 0.6018 | 1.92 | 300 | 0.6179 | 0.7112 |
| 0.4554 | 2.08 | 325 | 0.5339 | 0.7509 |
| 0.3778 | 2.24 | 350 | 0.5495 | 0.7726 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.9.0
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Oct 27, 2023
- Updated
- Oct 27, 2023