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roberta-base-finetuned-nlp-letters – AI Model by ben-yu | AlphaNeural AI
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roberta-base-finetuned-nlp-letters
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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-base-finetuned-nlp-letters
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: 0.0014
Accuracy: 1.0
F1: 1.0
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: 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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
165
0.0077
0.9985
0.9990
No log
2.0
330
0.0047
0.9970
0.9979
No log
3.0
495
0.0014
1.0
1.0
0.0271
4.0
660
0.0012
1.0
1.0
0.0271
5.0
825
0.0013
1.0
1.0
Framework versions
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
