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t5-small-finetuned-samsum – AI Model by vasumathin298 | AlphaNeural AI
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t5-small-finetuned-samsum
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
samsum
google-t5/t5-small
finetune
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-samsum
This model is a fine-tuned version of
t5-small
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.8225
Rouge1: 38.0664
Rouge2: 16.3092
Rougel: 31.9662
Rougelsum: 35.0264
Gen Len: 14.4976
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.0656
0.9992
920
1.8225
38.0664
16.3092
31.9662
35.0264
14.4976
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
