End of training
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README.md
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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_moe_ex38_sp0_2_ar0_0_mare_mlp
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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_moe_ex38_sp0_2_ar0_0_mare_mlp
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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: 1.4611
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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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| 0.5168 | 0.32 | 25 | 0.5669 | 0.7220 |
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| 0.5033 | 0.64 | 50 | 0.5296 | 0.7690 |
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| 0.4742 | 0.96 | 75 | 0.5493 | 0.7653 |
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| 0.4217 | 1.28 | 100 | 0.5473 | 0.7726 |
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| 0.4188 | 1.6 | 125 | 0.5759 | 0.7834 |
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| 0.4565 | 1.92 | 150 | 0.5721 | 0.7653 |
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| 0.3354 | 2.24 | 175 | 0.5307 | 0.7762 |
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| 0.2589 | 2.56 | 200 | 0.5804 | 0.7942 |
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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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