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indic-compose-mt5 – AI Model by lalit127 | AlphaNeural AI
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indic-compose-mt5
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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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indic-compose-mt5
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: nan
Bleu: 0.0
Rouge1: 0.0
Rougel: 0.0
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: 0.0005
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 50
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Rouge1
Rougel
0.0
1.0
139
nan
0.0
0.0
0.0
0.0
2.0
278
nan
0.0
0.0
0.0
0.0
3.0
417
nan
0.0
0.0
0.0
Framework versions
Transformers 4.57.6
Pytorch 2.9.0+cu126
Datasets 4.8.3
Tokenizers 0.22.2
