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t5-small-finetuned-firstsummary_news – AI Model by Ftmhd | AlphaNeural AI
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Ftmhd
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t5-small-finetuned-firstsummary_news
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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-small-finetuned-firstsummary_news
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.9675
Rouge1: 38.436
Rouge2: 19.7167
Rougel: 34.9458
Rougelsum: 34.9847
Gen Len: 18.6429
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 adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
157
2.0213
37.5682
19.4809
34.3985
34.3188
18.4286
No log
2.0
314
1.9675
38.436
19.7167
34.9458
34.9847
18.6429
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
