xlm-roberta-sentiment-tweets-8bs – AI Model by MiguelTami | AlphaNeural AI

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MiguelTami/
xlm-roberta-sentiment-tweets-8bs

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

text-embeddings-inference

endpoints_compatible

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xlm-roberta-sentiment-tweets-8bs

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

Loss: 0.6661
Accuracy: 0.7170
Precision: 0.7162
Recall: 0.7051
F1: 0.7042

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.0299	1.0	363	0.8129	0.6618	0.6556	0.6661	0.6493
0.7514	2.0	726	0.6661	0.7170	0.7162	0.7051	0.7042
0.6169	3.0	1089	0.7025	0.7129	0.7058	0.7077	0.7036
0.4881	4.0	1452	0.7650	0.6991	0.7074	0.6881	0.6934

Framework versions

Transformers 4.53.3
Pytorch 2.6.0+cu124
Datasets 4.4.1
Tokenizers 0.21.2