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finetune_rugec_Ae – AI Model by mika5883 | AlphaNeural AI

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mika5883/
finetune_rugec_Ae

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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finetune_rugec_Ae

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2364
eval_model_preparation_time: 4.0579
eval_runtime: 81.2432
eval_samples_per_second: 61.544
eval_steps_per_second: 0.972
step: 0

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: 3e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use 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: 3
mixed_precision_training: Native AMP

Framework versions

Transformers 4.48.1
Pytorch 2.5.1+cu124
Datasets 3.0.1
Tokenizers 0.21.0