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t5-base_cola_mare_ar2_ex16_size-64_collected-stats
thrunlab/t5-base_cola_mare_ar2_ex16_size-64_collected-stats
t5-base_cola_mare_ar2_ex16_size-64_collected-stats 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 16, 2023
- Updated
- Oct 18, 2023
- SHA
- 35b5e04b
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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_cola_mare_ar2_ex16_size-64_collected-stats
This model is a fine-tuned version of t5-base on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.4735
- Accuracy: 0.8284
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: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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 |
|---|---|---|---|---|
| 0.6019 | 0.37 | 50 | 0.5998 | 0.6913 |
| 0.4826 | 0.75 | 100 | 0.5145 | 0.7900 |
| 0.3876 | 1.12 | 150 | 0.5321 | 0.7824 |
| 0.3986 | 1.49 | 200 | 0.4806 | 0.8063 |
| 0.3751 | 1.87 | 250 | 0.4468 | 0.8207 |
| 0.309 | 2.24 | 300 | 0.4541 | 0.8226 |
| 0.3386 | 2.61 | 350 | 0.4573 | 0.8226 |
| 0.3244 | 2.99 | 400 | 0.4506 | 0.8255 |
| 0.2634 | 3.36 | 450 | 0.4938 | 0.8274 |
| 0.3371 | 3.73 | 500 | 0.4735 | 0.8284 |
| 0.3036 | 4.1 | 550 | 0.4729 | 0.8293 |
| 0.2891 | 4.48 | 600 | 0.4719 | 0.8293 |
| 0.354 | 4.85 | 650 | 0.4874 | 0.8284 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Oct 16, 2023
- Updated
- Oct 18, 2023