xlm-roberta-base_seed42_esp-kin-eng_train

shanhy/xlm-roberta-base_seed42_esp-kin-eng_train

xlm-roberta-base_seed42_esp-kin-eng_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 4, 2024
Updated: Feb 4, 2024
SHA: a7364c5b

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Base models

FacebookAI/xlm-roberta-base

Model card

From the Hugging Face model README

xlm-roberta-base_seed42_esp-kin-eng_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: 0.0178
Spearman Corr: 0.8225

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	0.6	200	0.0250	0.6871
No log	1.21	400	0.0221	0.7217
No log	1.81	600	0.0207	0.7428
0.0392	2.42	800	0.0206	0.7573
0.0392	3.02	1000	0.0204	0.7600
0.0392	3.63	1200	0.0197	0.7649
0.0213	4.23	1400	0.0197	0.7752
0.0213	4.83	1600	0.0197	0.7778
0.0213	5.44	1800	0.0207	0.7818
0.0154	6.04	2000	0.0216	0.7770
0.0154	6.65	2200	0.0180	0.7866
0.0154	7.25	2400	0.0185	0.7914
0.0154	7.85	2600	0.0194	0.7973
0.011	8.46	2800	0.0223	0.7969
0.011	9.06	3000	0.0184	0.7974
0.011	9.67	3200	0.0204	0.7991
0.0083	10.27	3400	0.0179	0.8023
0.0083	10.88	3600	0.0178	0.8073
0.0083	11.48	3800	0.0171	0.8063
0.0065	12.08	4000	0.0189	0.8093
0.0065	12.69	4200	0.0173	0.8061
0.0065	13.29	4400	0.0193	0.8090
0.0065	13.9	4600	0.0182	0.8114
0.0053	14.5	4800	0.0183	0.8109
0.0053	15.11	5000	0.0166	0.8132
0.0053	15.71	5200	0.0174	0.8151
0.0044	16.31	5400	0.0174	0.8191
0.0044	16.92	5600	0.0171	0.8192
0.0044	17.52	5800	0.0177	0.8191
0.0038	18.13	6000	0.0189	0.8228
0.0038	18.73	6200	0.0168	0.8200
0.0038	19.34	6400	0.0166	0.8220
0.0038	19.94	6600	0.0178	0.8225

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 4, 2024
Updated: Feb 4, 2024