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RoBERTa-finetuning – AI Model by msab97 | AlphaNeural AI
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msab97
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RoBERTa-finetuning
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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RoBERTa-finetuning
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: 0.3620
Accuracy: 0.8547
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4775
1.0
1317
0.4066
0.8411
0.335
2.0
2634
0.3753
0.8538
Framework versions
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0
