t5-base_cola_moe_ex38_epochs-0_decoder_all_sparsity10_mare_mlp

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

• eval_loss: 0.6636
• eval_accuracy: 0.6894
• eval_runtime: 1.9478
• eval_samples_per_second: 535.465
• eval_steps_per_second: 8.728
• step: 0

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: 1
• 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: 0

Framework versions

• Transformers 4.34.1
• Pytorch 2.0.1+cu117
• Datasets 2.9.0
• Tokenizers 0.14.1