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t5-small-finetuned-2024-03-21 – AI Model by liamvbetts | AlphaNeural AI
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t5-small-finetuned-2024-03-21
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
liamvbetts/t5-small-finetuned-2024-03-20
finetune
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-2024-03-21
This model is a fine-tuned version of
liamvbetts/t5-small-finetuned-2024-03-20
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.9005
Rouge1: 32.5532
Rouge2: 17.9983
Rougel: 28.9441
Rougelsum: 29.5273
Gen Len: 18.4722
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: 4e-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
1.7218
1.0
286
1.9005
32.5532
17.9983
28.9441
29.5273
18.4722
Framework versions
Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
