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t5-small-rte – AI Model by docampo99 | AlphaNeural AI
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docampo99
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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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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: 0.6873
Accuracy: 0.5740
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
156
0.6926
0.4946
No log
2.0
312
0.6890
0.5487
No log
3.0
468
0.6887
0.5415
0.6967
4.0
624
0.6873
0.5740
Framework versions
Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
