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mt5-small-to-hin-fixing – AI Model by kallacharanteja | AlphaNeural AI
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kallacharanteja
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mt5-small-to-hin-fixing
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peft
safetensors
adapter
lora
transformers
google/mt5-small
apache-2.0
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mt5-small-to-hin-fixing
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: 2.1584
Num Input Tokens Seen: 20467712
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: 0.001
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: 0.05
num_epochs: 3
Training results
Framework versions
PEFT 0.18.1
Transformers 5.3.0
Pytorch 2.9.0+cu126
Datasets 4.6.1
Tokenizers 0.22.2
