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results – AI Model by zuriati | AlphaNeural AI
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zuriati
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results
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
j-hartmann/emotion-english-distilroberta-base
finetune
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
j-hartmann/emotion-english-distilroberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3514
Accuracy: 0.9365
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: 64
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
0.0542
1.0
1000
0.3514
0.9365
0.0515
2.0
2000
0.3438
0.935
0.0825
3.0
3000
0.3766
0.9315
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
