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mt5-mn-qg4-finetuned – AI Model by Alt4nsuh | AlphaNeural AI
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Alt4nsuh
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mt5-mn-qg4-finetuned
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transformers
safetensors
mt5
text2text-generation
generated_from_trainer
google/mt5-base
finetune
apache-2.0
endpoints_compatible
us
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mt5-mn-qg4-finetuned
This model is a fine-tuned version of
google/mt5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4152
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: 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
Training results
Training Loss
Epoch
Step
Validation Loss
3.7035
1.0
596
1.5925
2.1344
2.0
1192
1.4596
2.004
3.0
1788
1.4152
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
