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output_loss_only – AI Model by letri345 | AlphaNeural AI
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letri345
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output_loss_only
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
VietAI/vit5-base
finetune
mit
text-generation-inference
endpoints_compatible
us
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output_loss_only
This model is a fine-tuned version of
VietAI/vit5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3426
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.7587
0.4
100
1.5070
1.6074
0.8
200
1.4301
1.4991
1.2
300
1.3961
1.4815
1.6
400
1.3718
1.4502
2.0
500
1.3557
1.3857
2.4
600
1.3490
1.399
2.8
700
1.3426
Framework versions
Transformers 4.57.3
Pytorch 2.6.0+cu124
Datasets 4.4.1
Tokenizers 0.22.1
