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mt5_qg_finetuned – AI Model by Alt4nsuh | AlphaNeural AI
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Alt4nsuh
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mt5_qg_finetuned
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google/mt5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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mt5_qg_finetuned
This model is a fine-tuned version of
google/mt5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0999
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
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
Training results
Training Loss
Epoch
Step
Validation Loss
1.2765
1.0
2500
1.1887
1.3506
2.0
5000
1.1262
1.3639
3.0
7500
1.0999
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Tokenizers 0.21.0
