furina_seed42_eng_amh_esp_roman

Shijia/furina_seed42_eng_amh_esp_roman

furina_seed42_eng_amh_esp_roman 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 12, 2024
Updated: Feb 12, 2024
SHA: 60a5a1ee

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Base models

yihongLiu/furina

Model card

From the Hugging Face model README

furina_seed42_eng_amh_esp_roman

This model is a fine-tuned version of yihongLiu/furina on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0144
Spearman Corr: 0.8461

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	0.59	200	0.0299	0.6782
No log	1.18	400	0.0251	0.7278
No log	1.76	600	0.0202	0.7493
0.0425	2.35	800	0.0194	0.7584
0.0425	2.94	1000	0.0184	0.7737
0.0425	3.53	1200	0.0189	0.7734
0.0184	4.12	1400	0.0180	0.7906
0.0184	4.71	1600	0.0188	0.7909
0.0184	5.29	1800	0.0171	0.7971
0.0184	5.88	2000	0.0165	0.8055
0.0134	6.47	2200	0.0162	0.8059
0.0134	7.06	2400	0.0164	0.8085
0.0134	7.65	2600	0.0169	0.8131
0.0098	8.24	2800	0.0169	0.8171
0.0098	8.82	3000	0.0158	0.8169
0.0098	9.41	3200	0.0152	0.8201
0.0073	10.0	3400	0.0165	0.8197
0.0073	10.59	3600	0.0150	0.8234
0.0073	11.18	3800	0.0152	0.8284
0.0073	11.76	4000	0.0141	0.8338
0.0059	12.35	4200	0.0144	0.8315
0.0059	12.94	4400	0.0147	0.8348
0.0059	13.53	4600	0.0157	0.8327
0.0049	14.12	4800	0.0147	0.8379
0.0049	14.71	5000	0.0149	0.8365
0.0049	15.29	5200	0.0142	0.8360
0.0049	15.88	5400	0.0140	0.8409
0.0042	16.47	5600	0.0135	0.8414
0.0042	17.06	5800	0.0141	0.8410
0.0042	17.65	6000	0.0144	0.8402
0.0037	18.24	6200	0.0151	0.8435
0.0037	18.82	6400	0.0140	0.8431
0.0037	19.41	6600	0.0140	0.8454
0.0033	20.0	6800	0.0136	0.8453
0.0033	20.59	7000	0.0137	0.8446
0.0033	21.18	7200	0.0144	0.8461

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1

Task: Text Classification
Library: transformers
Type: xlm-roberta
Created: Feb 12, 2024
Updated: Feb 12, 2024