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mt5-small-bias-aware-final – AI Model by anupa41222 | AlphaNeural AI
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anupa41222
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mt5-small-bias-aware-final
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transformers
tensorboard
safetensors
mt5
text2text-generation
generated_from_trainer
google/mt5-small
finetune
apache-2.0
endpoints_compatible
us
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mt5-small-bias-aware-final
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: 0.7760
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: 0.0003
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 20
Training results
Training Loss
Epoch
Step
Validation Loss
2.1784
1.0
889
0.8917
1.7371
2.0
1778
0.7981
1.5038
3.0
2667
0.7647
1.3669
4.0
3556
0.7527
1.2490
5.0
4445
0.7511
1.1389
6.0
5334
0.7536
1.0645
7.0
6223
0.7624
0.9827
8.0
7112
0.7760
Framework versions
Transformers 5.9.0
Pytorch 2.12.0+cu130
Datasets 4.8.5
Tokenizers 0.22.2
