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t5-base-finetuned-aeslc – AI Model by sohamchougule | AlphaNeural AI
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t5-base-finetuned-aeslc
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
aeslc
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-base-finetuned-aeslc
This model is a fine-tuned version of
t5-base
on the aeslc dataset. It achieves the following results on the evaluation set:
Loss: 2.7106
Rouge1: 32.7432
Rouge2: 16.6436
Rougel: 32.2648
Rougelsum: 32.225
Gen Len: 5.4143
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: 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
2.9888
1.0
7218
2.7106
32.7432
16.6436
32.2648
32.225
5.4143
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
