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FacebookAI_roberta-base_custom_data – AI Model by dariast | AlphaNeural AI
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FacebookAI_roberta-base_custom_data
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transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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FacebookAI_roberta-base_custom_data
This model is a fine-tuned version of
FacebookAI/roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3722
Precision Macro: 0.8399
Recall Macro: 0.8127
F1 Macro: 0.8177
Accuracy: 0.8265
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision Macro
Recall Macro
F1 Macro
Accuracy
0.4766
1.0
270
0.3801
0.8110
0.8230
0.8160
0.8089
0.3689
2.0
540
0.3722
0.8399
0.8127
0.8177
0.8265
Framework versions
Transformers 4.47.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.0.1
Tokenizers 0.20.1
