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

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MiguelTami/
xlm-roberta-sentiment-tweets

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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

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: 1.0942
Accuracy: 0.3913
Precision: 0.1304
Recall: 0.3333
F1: 0.1875

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
1.1022	1.0	725	1.0942	0.3913	0.1304	0.3333	0.1875
1.0997	2.0	1450	1.0956	0.3913	0.1304	0.3333	0.1875
1.0989	3.0	2175	1.0914	0.3913	0.1304	0.3333	0.1875
1.0968	4.0	2900	1.0907	0.3913	0.1304	0.3333	0.1875

Framework versions

Transformers 4.53.3
Pytorch 2.6.0+cu124
Datasets 4.4.1
Tokenizers 0.21.2