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t5_fine_tuned_with_yake_keywords – AI Model by thevyasamit | AlphaNeural AI
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t5_fine_tuned_with_yake_keywords
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transformers
pytorch
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_fine_tuned_with_yake_keywords
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: 17.5148
eval_rouge1: 7.1762
eval_rouge2: 4.5823
eval_rougeL: 6.305
eval_rougeLsum: 6.3057
eval_gen_len: 19.0
eval_runtime: 1940.5429
eval_samples_per_second: 5.921
eval_steps_per_second: 1.184
epoch: 13.0
step: 187200
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: 5
eval_batch_size: 5
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
Framework versions
Transformers 4.34.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
