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flan-t5-plato-1024 – AI Model by zayzay58 | AlphaNeural AI
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flan-t5-plato-1024
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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-plato-1024
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: 1.4360
eval_rouge1: 0.4124
eval_rouge2: 0.2985
eval_rougeL: 0.3739
eval_meteor: 0.268
eval_gen_len: 19.91
eval_runtime: 983.8501
eval_samples_per_second: 13.6
eval_steps_per_second: 1.133
epoch: 1.4948
step: 10000
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: 8
eval_batch_size: 12
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP
Framework versions
Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0