xlm-roberta-base-finetuned-panx-en – AI Model by July-Tokyo | AlphaNeural AI

You can deploy this model and start earning money today!

July-Tokyo/
xlm-roberta-base-finetuned-panx-en

like

0

token-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

xlm-roberta-base-finetuned-panx-en

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: 0.3858
F1: 0.7027

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 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
1.0592	1.0	50	0.5318	0.5548
0.4872	2.0	100	0.3949	0.6888
0.3743	3.0	150	0.3858	0.7027

Framework versions

Transformers 4.46.1
Pytorch 2.5.1+cu118
Datasets 3.1.0
Tokenizers 0.20.1