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t5-base-finetuned-xsum-long – AI Model by kmarx-kmarx-kmarx | AlphaNeural AI
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t5-base-finetuned-xsum-long
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-base-finetuned-xsum-long
This model is a fine-tuned version of
t5-base
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.5249
eval_rouge1: 15.3213
eval_rouge2: 12.6162
eval_rougeL: 15.3078
eval_rougeLsum: 15.2948
eval_gen_len: 19.0
eval_runtime: 50.2149
eval_samples_per_second: 2.41
eval_steps_per_second: 2.41
epoch: 9.0
step: 3690
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: 8e-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: 500
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
