t5-nepali-lora – AI Model by MKCL | AlphaNeural AI

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MKCL/
t5-nepali-lora

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google/mt5-small

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t5-nepali-lora

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
Score: 0.0
Counts: [0, 0, 0, 0]
Totals: [1000, 0, 0, 0]
Precisions: [0.0, 0.0, 0.0, 0.0]
Bp: 0.0000
Sys Len: 1000
Ref Len: 20184

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: 8
eval_batch_size: 8
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: 3
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Score	Counts	Totals	Precisions	Bp	Sys Len	Ref Len
0.0	1.0	1125	nan	0.0	[0, 0, 0, 0]	[1000, 0, 0, 0]	[0.0, 0.0, 0.0, 0.0]	0.0000	1000	20184
0.0	2.0	2250	nan	0.0	[0, 0, 0, 0]	[1000, 0, 0, 0]	[0.0, 0.0, 0.0, 0.0]	0.0000	1000	20184
0.0	3.0	3375	nan	0.0	[0, 0, 0, 0]	[1000, 0, 0, 0]	[0.0, 0.0, 0.0, 0.0]	0.0000	1000	20184

Framework versions

PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2