xlm-roberta-sentiment-batch-8 – AI Model by iaderegg | AlphaNeural AI

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iaderegg/
xlm-roberta-sentiment-batch-8

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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-batch-8

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

Loss: 1.0995
F1 Macro: 0.1483
F1 Weighted: 0.1273
Accuracy: 0.2861

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
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_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Macro	F1 Weighted	Accuracy
1.1304	1.0	601	1.1000	0.1868	0.2182	0.3893
1.1093	2.0	1202	1.1101	0.1634	0.1591	0.3246
1.1074	3.0	1803	1.1067	0.1868	0.2182	0.3893
1.1137	4.0	2404	1.0995	0.1483	0.1273	0.2861

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1