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mt5_base_lr2e-05_bs4_ep3 – AI Model by dariast | AlphaNeural AI
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dariast
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mt5_base_lr2e-05_bs4_ep3
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transformers
safetensors
mt5
token-classification
generated_from_trainer
google/mt5-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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mt5_base_lr2e-05_bs4_ep3
This model is a fine-tuned version of
google/mt5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4955
Precision: 0.5805
Recall: 0.2993
F1: 0.3950
Accuracy: 0.7882
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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
1.248
1.0
860
0.5351
0.6097
0.1826
0.2810
0.7842
0.6756
2.0
1720
0.5042
0.5136
0.4191
0.4616
0.7741
0.6142
3.0
2580
0.4955
0.5805
0.2993
0.3950
0.7882
Framework versions
Transformers 4.47.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.0.1
Tokenizers 0.20.1
