xlmr-41k

monster-next-hf/xlmr-41k

xlmr-41k is a token classification model from monster-next-hf. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as other.

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

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At a glance

Task: Token Classification
Library: transformers
License: other
Model type: xlm-roberta
Access: Public
Created: Aug 1, 2023
Updated: Aug 21, 2023
SHA: 088094db

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Model card

From the Hugging Face model README

sagemaker-xlmr-41k

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

Loss: 0.0729
F1: 0.8320

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-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.127	1.0	46170	0.0926	0.7736
0.084	2.0	92340	0.0772	0.8148
0.0648	3.0	138510	0.0729	0.8320

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu117
Datasets 2.9.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: xlm-roberta
License: other
Created: Aug 1, 2023
Updated: Aug 21, 2023