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t5_opus_books_daniels_model – AI Model by dhuang324 | AlphaNeural AI
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t5_opus_books_daniels_model
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5_opus_books_daniels_model
This model is a fine-tuned version of
google-t5/t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5887
Bleu: 5.7977
Gen Len: 17.593
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
1.8786
1.0
3972
1.6555
5.2905
17.6276
1.8263
2.0
7944
1.6124
5.6243
17.601
1.8032
3.0
11916
1.5934
5.746
17.5978
1.7822
4.0
15888
1.5887
5.7977
17.593
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
