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Finetuned_siebert-sentiment-roberta-large-english – AI Model by mrgmd01 | AlphaNeural AI
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Finetuned_siebert-sentiment-roberta-large-english
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
siebert/sentiment-roberta-large-english
finetune
text-embeddings-inference
endpoints_compatible
us
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Finetuned_siebert-sentiment-roberta-large-english
This model is a fine-tuned version of
siebert/sentiment-roberta-large-english
on the None dataset.
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: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 431
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
