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corporate-sentiment – AI Model by 0xfedev | AlphaNeural AI
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0xfedev
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corporate-sentiment
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transformers
safetensors
roberta
text-classification
generated_from_trainer
0xfedev/corporate-sentiment
finetune
mit
autotrain_compatible
endpoints_compatible
us
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corporate-sentiment
This model is a fine-tuned version of
0xfedev/corporate-sentiment
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0286
Accuracy: 0.7774
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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use 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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3828
1.0
241
1.0286
0.7774
Framework versions
Transformers 4.52.4
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.1
