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mt5-base-encoding-correction-10k – AI Model by sumanthbhargava | AlphaNeural AI
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sumanthbhargava
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mt5-base-encoding-correction-10k
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transformers
safetensors
mt5
text2text-generation
generated_from_trainer
google/mt5-base
finetune
apache-2.0
endpoints_compatible
us
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mt5-base-encoding-correction-10k
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: 0.0340
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: 3000
num_epochs: 20
Training results
Training Loss
Epoch
Step
Validation Loss
0.0415
1.0
2500
0.0354
0.0326
2.0
5000
0.0277
0.0243
3.0
7500
0.0273
0.0251
4.0
10000
0.0267
0.0131
5.0
12500
0.0252
0.0153
6.0
15000
0.0268
0.0124
7.0
17500
0.0279
0.0083
8.0
20000
0.0340
Framework versions
Transformers 5.10.2
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
