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t5-base_cola_moe_ex38_epochs-0_decoder_all_sparsity10_mare_mlp – AI Model by thrunlab | AlphaNeural AI
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t5-base_cola_moe_ex38_epochs-0_decoder_all_sparsity10_mare_mlp
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transformers
pytorch
t5
text-classification
generated_from_trainer
glue
google-t5/t5-base
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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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
