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t5-small-finetuned-xsum – AI Model by andmev | AlphaNeural AI | AlphaNeural AI
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t5-small-finetuned-xsum
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tensorboard
safetensors
t5
generated_from_trainer
xsum
google-t5/t5-small
finetune
apache-2.0
model-index
us
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t5-small-finetuned-xsum
This model is a fine-tuned version of
t5-small
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: 2.4785
Rouge1: 28.2895
Rouge2: 7.7184
Rougel: 22.2358
Rougelsum: 22.2305
Gen Len: 18.8296
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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.7078
1.0
12753
2.4785
28.2895
7.7184
22.2358
22.2305
18.8296
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
