End of training
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- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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- generated_from_trainer
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datasets:
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- glue
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model-index:
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- name: t5-base_cola_densedense_baseline
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results:
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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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# t5-base_cola_densedense_baseline
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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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## Model description
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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:
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### Training results
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### Framework versions
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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_densedense_baseline
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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: cola
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split: validation
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args: cola
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.835091083413231
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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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# t5-base_cola_densedense_baseline
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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: 0.5187
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- Accuracy: 0.8351
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## Model description
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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: 8
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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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| 0.5117 | 1.49 | 50 | 0.5002 | 0.7977 |
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| 0.3559 | 2.99 | 100 | 0.4575 | 0.8207 |
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| 0.3103 | 4.48 | 150 | 0.4466 | 0.8255 |
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| 0.2928 | 5.97 | 200 | 0.5051 | 0.8303 |
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| 0.2085 | 7.46 | 250 | 0.5187 | 0.8351 |
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### Framework versions
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pytorch_model.bin
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training_args.bin
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