xlm-roberta-base-finetuned-emotion – AI Model by JamesLemo | AlphaNeural AI

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JamesLemo/
xlm-roberta-base-finetuned-emotion

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

text-embeddings-inference

endpoints_compatible

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xlm-roberta-base-finetuned-emotion

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1129
Accuracy: 0.96
F1: 0.9608

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
0.3987	1.0	40	0.2408	0.8822	0.8695
0.1874	2.0	80	0.1129	0.96	0.9608

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1