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distilbert-base-uncased-finetuned-emotion – AI Model by John7767 | AlphaNeural AI | AlphaNeural AI
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distilbert-base-uncased-finetuned-emotion
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distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2312
Accuracy: 0.9275
F1: 0.9273
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: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.8461
1.0
250
0.3214
0.912
0.9111
0.2653
2.0
500
0.2312
0.9275
0.9273
Framework versions
Transformers 4.57.6
Pytorch 2.12.1
Datasets 2.14.5
Tokenizers 0.22.2
