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non_green_as_train_contextroberta-large_final – AI Model by kghanlon | AlphaNeural AI
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non_green_as_train_contextroberta-large_final
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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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non_green_as_train_contextroberta-large_final
This model is a fine-tuned version of
FacebookAI/roberta-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1008
Accuracy: 0.9769
Recall: 0.6932
F1: 0.6943
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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Recall
F1
0.0664
1.0
7739
0.0862
0.9658
0.8042
0.6396
0.0577
2.0
15478
0.1060
0.9768
0.6741
0.6869
0.0337
3.0
23217
0.1008
0.9769
0.6932
0.6943
Framework versions
Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
