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mt5-base-th-budget-seq – AI Model by napatswift | AlphaNeural AI
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mt5-base-th-budget-seq
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
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mt5-base-th-budget-seq
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0780
eval_runtime: 6.1204
eval_samples_per_second: 6.536
eval_steps_per_second: 6.536
epoch: 1.65
step: 603
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: 0.0005
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: 10
num_epochs: 10
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0
