mt5-base-encoding-correction-100k – AI Model by sumanthbhargava | AlphaNeural AI

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sumanthbhargava/
mt5-base-encoding-correction-100k

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text2text-generation

generated_from_trainer

google/mt5-base

endpoints_compatible

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mt5-base-encoding-correction-100k

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

Loss: 0.0198

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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 30000
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
0.0205	1.0	25000	0.0213
0.0136	2.0	50000	0.0152
0.0125	3.0	75000	0.0145
0.0106	4.0	100000	0.0145
0.0082	5.0	125000	0.0145
0.0050	6.0	150000	0.0158
0.0043	7.0	175000	0.0174
0.0047	8.0	200000	0.0198

Framework versions

Transformers 5.10.2
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2