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flan-t5-small-finetuned-mlsum-tr – AI Model by phitime | AlphaNeural AI
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flan-t5-small-finetuned-mlsum-tr
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google/flan-t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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flan-t5-small-finetuned-mlsum-tr
This model is a fine-tuned version of
google/flan-t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: nan
eval_rouge1: 10.3443
eval_rouge2: 5.3615
eval_rougeL: 8.9871
eval_rougeLsum: 9.3134
eval_gen_len: 16.1858
eval_runtime: 378.4208
eval_samples_per_second: 33.759
eval_steps_per_second: 2.111
epoch: 2.0
step: 31160
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
