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roberta-finetuned-freeform – AI Model by maretamasaeva | AlphaNeural AI
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maretamasaeva
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roberta-finetuned-freeform
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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roberta-finetuned-freeform
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6989
Accuracy: 0.4668
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6919
1.0
8094
0.6910
0.4668
0.6912
2.0
16188
0.6934
0.4668
0.6904
3.0
24282
0.6976
0.4668
0.6918
4.0
32376
0.6989
0.4668
Framework versions
Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6
