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peft-dialogue-summary-training – AI Model by ahmed-ayman101 | AlphaNeural AI
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peft-dialogue-summary-training
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transformers
generated_from_trainer
google/flan-t5-base
finetune
apache-2.0
endpoints_compatible
us
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peft-dialogue-summary-training-1768758582
This model is a fine-tuned version of
google/flan-t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0873
eval_runtime: 36.9801
eval_samples_per_second: 13.521
eval_steps_per_second: 3.38
epoch: 2.0
step: 3116
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: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.4.2
Tokenizers 0.22.1
