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t5_finetuned_DH – AI Model by divyahegde07 | AlphaNeural AI
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t5_finetuned_DH
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transformers
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_finetuned_DH
This model is a fine-tuned version of
google-t5/t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6634
Rouge1: 42.5196
Rouge2: 20.1123
Rougel: 36.1971
Rougelsum: 39.5071
Gen Len: 16.2677
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
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
1.8284
1.0
14732
1.7046
42.1196
18.8776
35.0303
38.6916
16.4469
Framework versions
Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
