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t5_finetuned_xsum_hr – AI Model by arinze | AlphaNeural AI
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t5_finetuned_xsum_hr
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
xsum
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5_finetuned_xsum_hr
This model is a fine-tuned version of
t5-small
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: 2.4224
Rouge1: 29.1239
Rouge2: 8.3165
Rougel: 22.9946
Rougelsum: 22.9996
Gen Len: 18.819
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.6839
1.0
12753
2.4474
28.721
8.0397
22.6568
22.6527
18.8324
2.6425
2.0
25506
2.4224
29.1239
8.3165
22.9946
22.9996
18.819
Framework versions
Transformers 4.21.0
Pytorch 1.12.0
Datasets 2.4.0
Tokenizers 0.12.1
