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t5-base-finetuned-samsum-v2 – AI Model by amagzari | AlphaNeural AI
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t5-base-finetuned-samsum-v2
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
samsum
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-base-finetuned-samsum-v2
This model is a fine-tuned version of
t5-base
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.4881
Rouge1: 44.5129
Rouge2: 20.9037
Rougel: 37.3032
Rougelsum: 41.2293
Gen Len: 16.7482
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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
1.6551
1.0
1841
1.4881
44.5129
20.9037
37.3032
41.2293
16.7482
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
