NLP-final-project

silke-delcart/NLP-final-project

NLP-final-project is a text classification model from silke-delcart. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: May 9, 2026
Updated: May 18, 2026
SHA: 3fa27dc1

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Base models

FacebookAI/xlm-roberta-large

Model card

From the Hugging Face model README

NLP-final-project

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

Loss: 0.1231
F1 Micro: 0.8344
F1 Macro: 0.7326

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: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.06
num_epochs: 40
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Micro	F1 Macro
0.3106	1.0	140	0.2986	0.0	0.0
0.2294	2.0	280	0.2075	0.5667	0.2151
0.1731	3.0	420	0.1717	0.7017	0.4464
0.1240	4.0	560	0.1316	0.7654	0.5373
0.0812	5.0	700	0.1237	0.7710	0.5790
0.0737	6.0	840	0.1214	0.7860	0.6067
0.0599	7.0	980	0.1111	0.8108	0.6502
0.0446	8.0	1120	0.1067	0.8161	0.6664
0.0359	9.0	1260	0.1090	0.8164	0.6773
0.0277	10.0	1400	0.1099	0.8209	0.6826
0.0206	11.0	1540	0.1133	0.8114	0.6649
0.0193	12.0	1680	0.1109	0.8214	0.6812
0.0175	13.0	1820	0.1182	0.8178	0.6996
0.0130	14.0	1960	0.1137	0.8262	0.7195
0.0107	15.0	2100	0.1129	0.8287	0.7033
0.0084	16.0	2240	0.1142	0.8355	0.7179
0.0073	17.0	2380	0.1153	0.8314	0.7213
0.0086	18.0	2520	0.1124	0.8381	0.7254
0.0064	19.0	2660	0.1142	0.8388	0.7269
0.0065	20.0	2800	0.1150	0.8400	0.7367
0.0046	21.0	2940	0.1171	0.8346	0.7174
0.0055	22.0	3080	0.1168	0.8421	0.7333
0.0048	23.0	3220	0.1184	0.8375	0.7252
0.0057	24.0	3360	0.1191	0.8389	0.7425
0.0046	25.0	3500	0.1195	0.8380	0.7264
0.0051	26.0	3640	0.1192	0.8383	0.7407
0.0042	27.0	3780	0.1205	0.8355	0.7315
0.0040	28.0	3920	0.1229	0.8331	0.7263
0.0035	29.0	4060	0.1231	0.8344	0.7326

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: May 9, 2026
Updated: May 18, 2026