t5-base_cola_mare_ar2_ex16_size-64_epochs-1_collected-stats

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t5-base_cola_mare_ar2_ex16_size-64_epochs-1_collected-stats

This model is a fine-tuned version of t5-base on the glue dataset. It achieves the following results on the evaluation set:

• Loss: 0.4881
• Accuracy: 0.8044

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 32
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 20
• num_epochs: 1

Training results

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1