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codebert-emotion-model – AI Model by Athipan01 | AlphaNeural AI
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Athipan01
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codebert-emotion-model
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peft
safetensors
roberta
generated_from_trainer
microsoft/codebert-base
adapter
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codebert-emotion-model
This model is a fine-tuned version of
microsoft/codebert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5182
Accuracy: 0.415
F1: 0.2434
Precision: 0.1722
Recall: 0.415
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
F1
Precision
Recall
1.727
1.0
63
1.5182
0.415
0.2434
0.1722
0.415
1.5964
2.0
126
1.4962
0.415
0.2434
0.1722
0.415
1.6195
2.96
186
1.4945
0.415
0.2434
0.1722
0.415
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
