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ft-t5-small-with-opusbook – AI Model by VoltIC | AlphaNeural AI
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VoltIC
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ft-t5-small-with-opusbook
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transformers
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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ft-t5-small-with-opusbook
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.0006
Bleu: 1.6533
Gen Len: 15.94
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
25
3.1302
2.7935
14.72
No log
2.0
50
3.0655
2.3356
14.81
No log
3.0
75
3.0264
2.0425
15.61
No log
4.0
100
3.0070
1.8813
15.85
No log
5.0
125
3.0006
1.6533
15.94
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
