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mt5-finetuned-tamil – AI Model by BanusreeM | AlphaNeural AI
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mt5-finetuned-tamil
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transformers
safetensors
mt5
text2text-generation
generated_from_trainer
google/mt5-small
finetune
apache-2.0
endpoints_compatible
us
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mt5-finetuned-tamil
This model is a fine-tuned version of
google/mt5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.9080
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
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
35.3578
1.0
731
17.8124
18.5688
2.0
1462
6.9052
6.5405
3.0
2193
2.9031
4.2418
4.0
2924
2.1326
2.8577
5.0
3655
1.9080
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.1
Tokenizers 0.21.0
