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t5-small-rte – AI Model by lightsout19 | AlphaNeural AI
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lightsout19
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t5-small-rte
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transformers
tensorboard
safetensors
t5
text-classification
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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t5-small-rte
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6894
Accuracy: 0.5632
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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
78
0.6912
0.5343
No log
2.0
156
0.6908
0.5415
No log
3.0
234
0.6906
0.5379
No log
4.0
312
0.6892
0.5451
No log
5.0
390
0.6894
0.5632
Framework versions
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0
