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roberta-base-finetuned-emotion-finetuned-emotion-aug – AI Model by kapliff89 | AlphaNeural AI
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kapliff89
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roberta-base-finetuned-emotion-finetuned-emotion-aug
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
kapliff89/roberta-base-finetuned-emotion
finetune
autotrain_compatible
endpoints_compatible
us
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roberta-base-finetuned-emotion-finetuned-emotion-aug
This model is a fine-tuned version of
kapliff89/roberta-base-finetuned-emotion
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5222
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: 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
0.2087
1.0
19
0.2681
0.1729
2.0
38
0.4187
0.074
3.0
57
0.5222
Framework versions
Transformers 4.40.2
Pytorch 2.3.0+cu118
Datasets 2.19.1
Tokenizers 0.19.1
