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sec-mt5-mn-qg2-finetuned – AI Model by Alt4nsuh | AlphaNeural AI
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Alt4nsuh
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sec-mt5-mn-qg2-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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sec-mt5-mn-qg2-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: 2.3638
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
9.6248
1.0
500
2.8927
4.046
2.0
1000
2.6012
3.5735
3.0
1500
2.4590
3.3875
4.0
2000
2.3855
3.3083
5.0
2500
2.3638
Framework versions
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
