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t5-base_cola_moe_ex38_epochs-2_decoder_all_sparsity10_mare_mlp – AI Model by thrunlab | AlphaNeural AI
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thrunlab
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t5-base_cola_moe_ex38_epochs-2_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
model-index
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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t5-base_cola_moe_ex38_epochs-2_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:
Loss: 0.6743
Accuracy: 0.8303
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6136
0.37
50
0.8261
0.8236
0.5765
0.75
100
0.7518
0.8236
0.4863
1.12
150
0.6893
0.8332
0.4761
1.49
200
0.7211
0.8245
0.4241
1.87
250
0.6790
0.8313
Framework versions
Transformers 4.34.1
Pytorch 2.0.1+cu117
Datasets 2.9.0
Tokenizers 0.14.1
