furina_afr_corr_5e-06

Shijia/furina_afr_corr_5e-06

furina_afr_corr_5e-06 is a text classification model from Shijia. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: xlm-roberta
Access: Public
Created: Feb 16, 2024
Updated: Feb 16, 2024
SHA: d0dff0ad

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Base models

yihongLiu/furina

Model card

From the Hugging Face model README

furina_afr_corr_5e-06

This model is a fine-tuned version of yihongLiu/furina on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0213
Spearman Corr: 0.7660

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-06
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	0.85	200	0.0813	0.0483
No log	1.69	400	0.0439	0.3738
0.1125	2.54	600	0.0360	0.6162
0.1125	3.38	800	0.0287	0.6660
0.035	4.23	1000	0.0271	0.6987
0.035	5.07	1200	0.0248	0.7139
0.035	5.92	1400	0.0252	0.7230
0.026	6.77	1600	0.0246	0.7173
0.026	7.61	1800	0.0230	0.7344
0.0227	8.46	2000	0.0236	0.7361
0.0227	9.3	2200	0.0223	0.7470
0.0203	10.15	2400	0.0227	0.7462
0.0203	10.99	2600	0.0224	0.7477
0.0203	11.84	2800	0.0242	0.7483
0.0186	12.68	3000	0.0218	0.7537
0.0186	13.53	3200	0.0229	0.7528
0.0175	14.38	3400	0.0227	0.7552
0.0175	15.22	3600	0.0221	0.7602
0.0163	16.07	3800	0.0216	0.7612
0.0163	16.91	4000	0.0216	0.7619
0.0163	17.76	4200	0.0217	0.7616
0.0154	18.6	4400	0.0215	0.7612
0.0154	19.45	4600	0.0212	0.7651
0.0146	20.3	4800	0.0216	0.7634
0.0146	21.14	5000	0.0213	0.7641
0.0141	21.99	5200	0.0223	0.7629
0.0141	22.83	5400	0.0213	0.7664
0.0141	23.68	5600	0.0214	0.7635
0.0134	24.52	5800	0.0214	0.7649
0.0134	25.37	6000	0.0216	0.7637
0.013	26.22	6200	0.0214	0.7644
0.013	27.06	6400	0.0213	0.7656
0.013	27.91	6600	0.0214	0.7661
0.0127	28.75	6800	0.0212	0.7655
0.0127	29.6	7000	0.0213	0.7660

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: xlm-roberta
Created: Feb 16, 2024
Updated: Feb 16, 2024