xlm-roberta-reddit-20 – AI Model by RaZiX | AlphaNeural AI

You can deploy this model and start earning money today!

RaZiX/
xlm-roberta-reddit-20

like

0

text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

xlm-roberta-reddit-20

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

Loss: 1.2895
Accuracy: 0.6139
F1: 0.5610
Precision: 0.6240
Recall: 0.5732

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: 2e-05
train_batch_size: 12
eval_batch_size: 12
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	207	2.3276	0.2542	0.1174	0.1024	0.1836
No log	2.0	414	1.8805	0.4407	0.3559	0.4068	0.3781
2.3272	3.0	621	1.5394	0.5518	0.4813	0.5325	0.5006
2.3272	4.0	828	1.3419	0.5989	0.5277	0.6230	0.5534
1.4121	5.0	1035	1.2895	0.6139	0.5610	0.6240	0.5732

Framework versions

Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.4.0
Tokenizers 0.21.1