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--- |
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license: apache-2.0 |
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base_model: t5-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- glue |
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metrics: |
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- accuracy |
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model-index: |
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- name: t5-base_cola_dense_sp0_ar0 |
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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: glue |
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type: glue |
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config: rte |
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split: validation |
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args: rte |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.0 |
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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-base_cola_dense_sp0_ar0 |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8364 |
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- Accuracy: 0.0 |
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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: 32 |
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- eval_batch_size: 64 |
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- seed: 1 |
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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: 6 |
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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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| 0.6981 | 0.32 | 25 | 0.6973 | 0.4657 | |
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| 0.6818 | 0.64 | 50 | 0.6864 | 0.4910 | |
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| 0.6578 | 0.96 | 75 | 0.6036 | 0.6968 | |
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| 0.5986 | 1.28 | 100 | 0.5675 | 0.7292 | |
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| 0.5756 | 1.6 | 125 | 0.5968 | 0.7076 | |
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| 0.4797 | 1.92 | 150 | 0.5562 | 0.7401 | |
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| 0.463 | 2.24 | 175 | 0.6183 | 0.7220 | |
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| 0.4034 | 2.56 | 200 | 0.5857 | 0.7726 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.11.6 |
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