xlm-roberta-base_seed42_hau-esp_train

shanhy/xlm-roberta-base_seed42_hau-esp_train

xlm-roberta-base_seed42_hau-esp_train is a text classification model from shanhy. 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: Feb 3, 2024
Updated: Feb 3, 2024
SHA: 4cead5d3

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Base models

FacebookAI/xlm-roberta-base

Model card

From the Hugging Face model README

xlm-roberta-base_seed42_hau-esp_train

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

Loss: 0.0184
Spearman Corr: 0.8353

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: 32
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Spearman Corr
No log	0.54	200	0.0340	0.6757
No log	1.08	400	0.0268	0.7088
No log	1.62	600	0.0249	0.7236
0.0381	2.15	800	0.0256	0.7349
0.0381	2.69	1000	0.0366	0.7404
0.0381	3.23	1200	0.0369	0.7529
0.0381	3.77	1400	0.0257	0.7644
0.0227	4.31	1600	0.0208	0.7761
0.0227	4.85	1800	0.0238	0.7827
0.0227	5.38	2000	0.0213	0.7902
0.0227	5.92	2200	0.0214	0.7934
0.0153	6.46	2400	0.0214	0.8012
0.0153	7.0	2600	0.0212	0.8049
0.0153	7.54	2800	0.0202	0.8071
0.0106	8.08	3000	0.0226	0.8105
0.0106	8.61	3200	0.0186	0.8203
0.0106	9.15	3400	0.0194	0.8214
0.0106	9.69	3600	0.0183	0.8222
0.0078	10.23	3800	0.0176	0.8266
0.0078	10.77	4000	0.0192	0.8252
0.0078	11.31	4200	0.0190	0.8241
0.0078	11.84	4400	0.0176	0.8303
0.0059	12.38	4600	0.0192	0.8299
0.0059	12.92	4800	0.0187	0.8346
0.0059	13.46	5000	0.0184	0.8353

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Feb 3, 2024
Updated: Feb 3, 2024