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finetuned – AI Model by Aleksandra-Aleksandra | AlphaNeural AI
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Aleksandra-Aleksandra
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finetuned
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
Aleksandra-Aleksandra/finetuned
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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finetuned
This model is a fine-tuned version of
Aleksandra-Aleksandra/finetuned
on the None dataset. It achieves the following results on the evaluation set:
Loss: 6.5505
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: 20
seed: 42
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
6.6699
1.0
2674
6.5961
6.6454
2.0
5348
6.5608
6.6194
3.0
8022
6.5505
Framework versions
Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
