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experiment-model-bertweet – AI Model by ARC4N3 | AlphaNeural AI
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ARC4N3
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experiment-model-bertweet
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
finiteautomata/bertweet-base-sentiment-analysis
finetune
autotrain_compatible
endpoints_compatible
us
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experiment-model-bertweet
This model is a fine-tuned version of
finiteautomata/bertweet-base-sentiment-analysis
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6847
Accuracy: 0.8306
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
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3532
1.0
760
0.3454
0.8453
0.2907
2.0
1521
0.3672
0.8465
0.2568
3.0
2281
0.4530
0.8393
0.2054
4.0
3042
0.5747
0.8369
0.1495
5.0
3800
0.6847
0.8306
Framework versions
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
