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--- |
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license: apache-2.0 |
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base_model: t5-large |
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tags: |
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- generated_from_trainer |
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datasets: |
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- super_glue |
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metrics: |
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- accuracy |
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model-index: |
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- name: t5-large_wic_dense_epochs-5 |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: super_glue |
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type: super_glue |
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config: wic |
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split: validation |
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args: wic |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.6598746081504702 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# t5-large_wic_dense_epochs-5 |
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the super_glue dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7106 |
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- Accuracy: 0.6599 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 0 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.6058 | 2.35 | 50 | 0.7125 | 0.6176 | |
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| 0.4662 | 4.71 | 100 | 0.7054 | 0.6614 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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