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t5-small-finetuned-samsum-test – AI Model by sohamchougule | AlphaNeural AI
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t5-small-finetuned-samsum-test
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
samsum
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-samsum-test
This model is a fine-tuned version of
t5-small
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.6768
Rouge1: 43.5952
Rouge2: 19.5072
Rougel: 36.2845
Rougelsum: 39.8318
Gen Len: 16.5055
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: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
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
1.8479
1.0
7366
1.6768
43.5952
19.5072
36.2845
39.8318
16.5055
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
