metadata

license: apache-2.0
base_model: t5-base
tags:
  - generated_from_trainer
datasets:
  - glue
model-index:
  - name: t5-base_cola_moe_ex38_epochs-0_decoder_all_sparsity10_mare_mlp
    results: []

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