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my_model-2 – AI Model by Gautamo1 | AlphaNeural AI
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Gautamo1
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my_model-2
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
nlptown/bert-base-multilingual-uncased-sentiment
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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my_model-2
This model is a fine-tuned version of
nlptown/bert-base-multilingual-uncased-sentiment
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2033
Accuracy: 0.9254
F1: 0.9259
Precision: 0.9217
Recall: 0.9302
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: 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
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.2334
1.0
1250
0.2033
0.9254
0.9259
0.9217
0.9302
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
