Downloads · 30 days
5
13% of all-time downloads
xlm-roberta-large-finetuned-ner
shanti10/xlm-roberta-large-finetuned-ner
xlm-roberta-large-finetuned-ner is a token classification model from shanti10. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
39
Public
Parameters
559M
4.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.2 GB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jan 4, 2024
- Updated
- Jan 5, 2024
- SHA
- a8bdec9e
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
xlm-roberta-large-finetuned-ner
This model is a fine-tuned version of xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 3.1818
- eval_precision: 0.0185
- eval_recall: 0.0749
- eval_f1: 0.0296
- eval_accuracy: 0.0005
- eval_runtime: 149.7208
- eval_samples_per_second: 72.475
- eval_steps_per_second: 18.12
- step: 0
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Token Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jan 4, 2024
- Updated
- Jan 5, 2024