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pttmario5 – AI Model by VictorNGomes | AlphaNeural AI
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VictorNGomes
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pttmario5
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
xlsum
VictorNGomes/pttmario5
finetune
mit
text-generation-inference
endpoints_compatible
us
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pttmario5
This model is a fine-tuned version of
VictorNGomes/pttmario5
on the xlsum dataset. It achieves the following results on the evaluation set:
Loss: 2.2144
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: 5e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 384
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 8
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.5131
3.34
500
2.2600
2.4594
6.69
1000
2.2144
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.15.0
