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roberta-base-finetuned-emotion – AI Model by kapliff89 | AlphaNeural AI
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kapliff89
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roberta-base-finetuned-emotion
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
klue/roberta-base
finetune
autotrain_compatible
endpoints_compatible
us
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roberta-base-finetuned-emotion
This model is a fine-tuned version of
klue/roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1584
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.8759
0.9412
16
0.3249
0.2356
1.8824
32
0.2757
0.0913
2.8235
48
0.1584
Framework versions
Transformers 4.40.2
Pytorch 2.3.0+cu118
Datasets 2.19.1
Tokenizers 0.19.1
