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End of training

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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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+
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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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+
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+ # t5-base_cola_moe_ex38_sp0_2_ar0_0_mare_mlp
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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