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twitter-bert-finetuned – AI Model by ojasvagupta | AlphaNeural AI
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ojasvagupta
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twitter-bert-finetuned
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
cardiffnlp/twitter-roberta-base-sentiment
finetune
autotrain_compatible
endpoints_compatible
us
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twitter-bert-finetuned
This model is a fine-tuned version of
cardiffnlp/twitter-roberta-base-sentiment
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.4431
Accuracy: 0.0
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: 5e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
1
1.3256
0.0
No log
2.0
2
2.0196
0.0
No log
3.0
3
2.4431
0.0
Framework versions
Transformers 4.53.0
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
