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fine_tuned_main_raid – AI Model by emmajin0210 | AlphaNeural AI
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fine_tuned_main_raid
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transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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fine_tuned_main_raid
This model is a fine-tuned version of
FacebookAI/roberta-large
on the RAID dataset. It achieves the following results on the evaluation set:
Loss: 0.4104
Accuracy: 0.9413
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use 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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4311
0.0010
100
0.1732
0.9445
0.2372
0.0020
200
0.1967
0.9550
0.2263
0.0029
300
0.2582
0.9531
0.1791
0.0039
400
0.4104
0.9413
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
