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t5-seq2seq-imbalancetexx-onehot – AI Model by twanghcmut | AlphaNeural AI
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twanghcmut
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t5-seq2seq-imbalancetexx-onehot
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safetensors
t5
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
us
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t5-seq2seq-imbalancetexx-onehot
This model is a fine-tuned version of
t5-small
on an unknown dataset.
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: 40
eval_batch_size: 40
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.0004
1
26.0229
Framework versions
Transformers 4.43.1
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.19.1
