xlm-roberta-base_amh_corr_2e-05

Shijia/xlm-roberta-base_amh_corr_2e-05

xlm-roberta-base_amh_corr_2e-05 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. The card lists the license as mit.

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

Downloads · 30 days

8% of all-time downloads

All-time downloads

Public

Parameters

278M

1.1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.1 GB · 98%

At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Feb 16, 2024
Updated: Feb 16, 2024
SHA: 6f87ad26

Try a prompt

Base models

FacebookAI/xlm-roberta-base

Model card

From the Hugging Face model README

xlm-roberta-base_amh_corr_2e-05

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0246
Spearman Corr: 0.7671

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	0.9	200	0.0252	0.7645
No log	1.81	400	0.0277	0.7586
0.0072	2.71	600	0.0302	0.7579
0.0072	3.62	800	0.0253	0.7618
0.0057	4.52	1000	0.0234	0.7674
0.0057	5.43	1200	0.0248	0.7638
0.0047	6.33	1400	0.0280	0.7582
0.0047	7.24	1600	0.0251	0.7655
0.0039	8.14	1800	0.0259	0.7661
0.0039	9.05	2000	0.0251	0.7691
0.0039	9.95	2200	0.0258	0.7684
0.0035	10.86	2400	0.0237	0.7680
0.0035	11.76	2600	0.0249	0.7622
0.0031	12.67	2800	0.0240	0.7656
0.0031	13.57	3000	0.0248	0.7668
0.0028	14.48	3200	0.0246	0.7688
0.0028	15.38	3400	0.0241	0.7670
0.0026	16.29	3600	0.0268	0.7693
0.0026	17.19	3800	0.0239	0.7690
0.0024	18.1	4000	0.0257	0.7716
0.0024	19.0	4200	0.0234	0.7717
0.0024	19.91	4400	0.0235	0.7690
0.0022	20.81	4600	0.0238	0.7711
0.0022	21.72	4800	0.0245	0.7694
0.0021	22.62	5000	0.0238	0.7680
0.0021	23.53	5200	0.0254	0.7674
0.0019	24.43	5400	0.0247	0.7679
0.0019	25.34	5600	0.0246	0.7671

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
License: mit
Created: Feb 16, 2024
Updated: Feb 16, 2024