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toucan-base-V2-pt-vmw – AI Model by felerminoali | AlphaNeural AI
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toucan-base-V2-pt-vmw
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
UBC-NLP/toucan-base
finetune
text-generation-inference
endpoints_compatible
us
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toucan-base-V2-pt-vmw
This model is a fine-tuned version of
UBC-NLP/toucan-base
on an unknown dataset.
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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
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: 3.0
Training results
Framework versions
Transformers 4.53.0.dev0
Pytorch 2.6.0+cu124
Datasets 2.10.1
Tokenizers 0.21.1
