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agricultural-sentiment-model – AI Model by group21 | AlphaNeural AI
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group21
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agricultural-sentiment-model
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transformers
safetensors
roberta
text-classification
generated_from_trainer
cardiffnlp/twitter-roberta-base-sentiment
finetune
autotrain_compatible
endpoints_compatible
us
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agricultural-sentiment-model
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: 1.0879
Accuracy: 0.625
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 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
2
1.0879
0.625
No log
2.0
4
1.2159
0.625
No log
3.0
6
1.1603
0.75
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cpu
Datasets 3.3.2
Tokenizers 0.21.0
