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mt5-small-to-Hin-easy – AI Model by kallacharanteja | AlphaNeural AI
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kallacharanteja
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mt5-small-to-Hin-easy
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peft
safetensors
adapter
lora
transformers
google/mt5-small
apache-2.0
us
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mt5-small-to-Hin-easy
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: 3.8374
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
51.6861
0.5579
500
8.2958
26.3626
1.1149
1000
4.6962
22.7696
1.6728
1500
4.0491
21.5575
2.2298
2000
3.8896
21.2102
2.7877
2500
3.8374
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
