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masa-preskripsi-multiclass1 – AI Model by senmasa | AlphaNeural AI
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masa-preskripsi-multiclass1
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
intfloat/multilingual-e5-small
finetune
mit
autotrain_compatible
endpoints_compatible
us
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masa-preskripsi-multiclass1
This model is a fine-tuned version of
intfloat/multilingual-e5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8187
Accuracy: 0.6241
F1: 0.6048
Precision: 0.6138
Recall: 0.6028
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
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
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.8656
1.0
7397
0.8187
0.6241
0.6048
0.6138
0.6028
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
