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mt5-small-to-Hin-medium – AI Model by kallacharanteja | AlphaNeural AI
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kallacharanteja
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mt5-small-to-Hin-medium
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peft
safetensors
adapter
lora
transformers
google/mt5-small
apache-2.0
us
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mt5-small-to-Hin-medium
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: 3.4326
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.03
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
19.3938
0.5585
500
3.5303
18.9484
1.1162
1000
3.4744
18.7985
1.6747
1500
3.4484
18.6643
2.2323
2000
3.4348
18.6869
2.7908
2500
3.4326
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
