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marbert-finetuned-wanlp_sarcasm – AI Model by Bmalmotairy | AlphaNeural AI
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Bmalmotairy
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marbert-finetuned-wanlp_sarcasm
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transformers
pytorch
bert
text-classification
generated_from_trainer
UBC-NLP/MARBERT
finetune
autotrain_compatible
endpoints_compatible
us
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marbert-finetuned-wanlp_sarcasm
This model is a fine-tuned version of
UBC-NLP/MARBERT
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6362
Accuracy: 0.9485
Precision: 0.7758
Recall: 0.7814
F1: 0.7786
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: 32
eval_batch_size: 32
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
Precision
Recall
F1
0.2904
1.0
226
0.4947
0.9402
0.8199
0.6201
0.7061
0.2199
2.0
452
0.4060
0.9406
0.7345
0.7634
0.7487
0.0545
3.0
678
0.6362
0.9485
0.7758
0.7814
0.7786
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
