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RobertaBaseUnprocessedDownsampled – AI Model by ImperialIndians23 | AlphaNeural AI
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ImperialIndians23
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RobertaBaseUnprocessedDownsampled
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transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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RobertaBaseUnprocessedDownsampled
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3654
Accuracy: 0.7918
F1: 0.4140
Precision: 0.2821
Recall: 0.7778
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: inverse_sqrt
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.4359
1.0
297
0.3654
0.7918
0.4140
0.2821
0.7778
0.6202
2.0
595
0.3789
0.9054
0.0
0.0
0.0
0.6743
2.99
891
0.4437
0.9054
0.0
0.0
0.0
Framework versions
Transformers 4.38.2
Pytorch 2.1.2+cu121
Datasets 2.17.1
Tokenizers 0.15.2
