finetuned_model_emotion_detection – AI Model by marinatamayo | AlphaNeural AI

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marinatamayo/
finetuned_model_emotion_detection

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text-classification

multi_label_classification

generated_from_trainer

jhu-clsp/mmBERT-base

text-embeddings-inference

endpoints_compatible

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finetuned_model_emotion_detection

This model is a fine-tuned version of jhu-clsp/mmBERT-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3359
F1 Macro: 0.4954

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: 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
lr_scheduler_warmup_steps: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Macro
No log	1.0	223	0.2768	0.4027
No log	2.0	446	0.2700	0.4720
0.2636	3.0	669	0.3359	0.4954

Framework versions

Transformers 5.4.0
Pytorch 2.10.0+cu128
Datasets 4.8.4
Tokenizers 0.22.2