mt5-small-finetuned-easy – AI Model by kallacharanteja | AlphaNeural AI

You can deploy this model and start earning money today!

kallacharanteja/
mt5-small-finetuned-easy

like

0

google/mt5-small

Views

No views yet

mt5-small-finetuned-easy

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 134.6687

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: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
7713.7494	0.4080	500	1422.8065
3212.7847	0.8160	1000	534.9083
1562.9995	1.2236	1500	245.6855
1141.0379	1.6316	2000	171.7863
961.2817	2.0392	2500	148.8024
877.5551	2.4472	3000	137.8753
851.0401	2.8552	3500	134.6687

Framework versions

PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2