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results2.3epoci – AI Model by dianamihalache27 | AlphaNeural AI
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results2.3epoci
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transformers
safetensors
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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results2.3epoci
This model is a fine-tuned version of
RoBerta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6171
Accuracy: 0.7133
F1: 0.0
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
