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sentiment-model-finetuned – AI Model by antoniop-dev | AlphaNeural AI
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sentiment-model-finetuned
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transformers
safetensors
roberta
text-classification
generated_from_trainer
cardiffnlp/twitter-roberta-base-sentiment-latest
finetune
cc-by-4.0
text-embeddings-inference
endpoints_compatible
us
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sentiment-model-finetuned
This model is a fine-tuned version of
cardiffnlp/twitter-roberta-base-sentiment-latest
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7384
Accuracy: 0.758
Macro F1: 0.7470
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: 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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Macro F1
0.5691
1.0
2851
0.5514
0.758
0.7473
0.4382
2.0
5702
0.6073
0.764
0.7495
0.2595
3.0
8553
0.7384
0.758
0.7470
Framework versions
Transformers 4.46.3
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.20.3
