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t5-base_ter – AI Model by lesha-grishchenko | AlphaNeural AI
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t5-base_ter
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-base_ter
This model is a fine-tuned version of
google-t5/t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.9640
Bleu: 0.0101
Gen Len: 19.0
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: 3e-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: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
2.1521
1.0
2420
1.9929
0.0101
19.0
2.0942
2.0
4840
1.9640
0.0101
19.0
Framework versions
Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
