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mt5-budget-seq2seq-2 – AI Model by napatswift | AlphaNeural AI
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napatswift
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mt5-budget-seq2seq-2
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
th
en
napatswift/budget-seq2seq-json
napatswift/mt5-budget-seq-1
finetune
text-generation-inference
endpoints_compatible
us
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mt5-budget-seq2seq-2
This model is a fine-tuned version of
napatswift/mt5-budget-seq-1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0056
Cer: 0.7435
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: 0.0006
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 90
num_epochs: 5
Training results
Training Loss
Epoch
Step
Cer
Validation Loss
0.0215
0.34
400
0.5769
0.0073
0.0142
2.12
800
0.0072
0.7436
0.0091
3.18
1200
0.0070
0.7436
0.006
4.24
1600
0.0056
0.7435
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0
