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roberta-base-isarcasm – AI Model by w11wo | AlphaNeural AI
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w11wo
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roberta-base-isarcasm
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transformers
pytorch
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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roberta-base-isarcasm
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6208
Accuracy: 0.7982
F1: 0.4317
Precision: 0.4304
Recall: 0.4331
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
No log
1.0
215
0.7162
0.8286
0.0
0.0
0.0
No log
2.0
430
0.9168
0.7143
0.1667
0.1667
0.1667
0.6391
3.0
645
1.2142
0.6857
0.1538
0.1429
0.1667
Framework versions
Transformers 4.32.0
Pytorch 2.1.1+cu121
Datasets 2.14.5
Tokenizers 0.13.3
