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t5-large_sst2_dense_epochs-3
thrunlab/t5-large_sst2_dense_epochs-3
t5-large_sst2_dense_epochs-3 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
- 320fbd17
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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-large_sst2_dense_epochs-3
This model is a fine-tuned version of t5-large on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.2376
- Accuracy: 0.9576
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: 256
- eval_batch_size: 256
- seed: 0
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- 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: 20
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2133 | 0.38 | 50 | 0.2188 | 0.9415 |
| 0.1655 | 0.76 | 100 | 0.3689 | 0.9518 |
| 0.1473 | 1.14 | 150 | 0.2660 | 0.9541 |
| 0.1092 | 1.52 | 200 | 0.2441 | 0.9576 |
| 0.1081 | 1.89 | 250 | 0.2395 | 0.9599 |
| 0.0785 | 2.27 | 300 | 0.3700 | 0.9599 |
| 0.119 | 2.65 | 350 | 0.3577 | 0.9530 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Oct 27, 2023
- Updated
- Oct 27, 2023