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bertweet-sentiment-finetuned – AI Model by adv1102 | AlphaNeural AI
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adv1102
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bertweet-sentiment-finetuned
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transformers
safetensors
roberta
text-classification
generated_from_trainer
finiteautomata/bertweet-base-sentiment-analysis
finetune
autotrain_compatible
endpoints_compatible
us
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bertweet-sentiment-finetuned
This model is a fine-tuned version of
finiteautomata/bertweet-base-sentiment-analysis
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5533
Accuracy: 0.875
F1: 0.8633
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
60
0.4306
0.85
0.8349
No log
2.0
120
0.3752
0.8917
0.8844
No log
3.0
180
0.5461
0.8417
0.8230
No log
4.0
240
0.5316
0.875
0.8633
No log
5.0
300
0.5533
0.875
0.8633
Framework versions
Transformers 4.47.1
Pytorch 2.4.1+cpu
Datasets 3.1.0
Tokenizers 0.21.0
