xlm-roberta-base-finetuned-panx-it – AI Model by srmjfba | AlphaNeural AI

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srmjfba/
xlm-roberta-base-finetuned-panx-it

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token-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

endpoints_compatible

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xlm-roberta-base-finetuned-panx-it

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2531
F1: 0.8300

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: 24
eval_batch_size: 24
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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.7111	1.0	70	0.2982	0.7618
0.2716	2.0	140	0.2598	0.7851
0.1752	3.0	210	0.2531	0.8300

Framework versions

Transformers 4.57.1
Pytorch 2.12.1+cu130
Datasets 5.0.0
Tokenizers 0.22.2