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roberta_base_results_batch_size16 – AI Model by aoiferyan | AlphaNeural AI
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roberta_base_results_batch_size16
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safetensors
roberta
generated_from_trainer
FacebookAI/roberta-base
finetune
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roberta_base_results_batch_size16
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3188
Accuracy: 0.8660
F1: 0.8650
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.498
0.5319
100
0.3733
0.8483
0.8433
0.3518
1.0638
200
0.3419
0.8581
0.8577
0.2913
1.5957
300
0.3188
0.8660
0.8650
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
