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sentiment_model_for_hf – AI Model by flaaa31 | AlphaNeural AI
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flaaa31
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sentiment_model_for_hf
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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_for_hf
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: 0.9413
Accuracy: 0.746
F1: 0.7454
Precision: 0.7451
Recall: 0.746
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.6881
1.0
1250
0.5987
0.733
0.7315
0.7505
0.733
0.4569
2.0
2500
0.6451
0.743
0.7427
0.7448
0.743
0.0882
3.0
3750
0.9413
0.746
0.7454
0.7451
0.746
Framework versions
Transformers 4.57.1
Pytorch 2.9.0+cpu
Datasets 4.3.0
Tokenizers 0.22.1
