distilbert-base-uncased-finetuned-emotion – AI Model by Mushroom12345 | AlphaNeural AI

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Mushroom12345/
distilbert-base-uncased-finetuned-emotion

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

text-embeddings-inference

endpoints_compatible

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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: 0.2112
Accuracy: 0.924
F1: 0.9241

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
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use 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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	250	0.2999	0.91	0.9099
No log	2.0	500	0.2112	0.924	0.9241

Framework versions

Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 2.14.6
Tokenizers 0.22.1