Downloads · 30 days
3
1% of all-time downloads
xlmr_finetuned_ner_hmb_e5
AmaanDhamaskar/xlmr_finetuned_ner_hmb_e5
xlmr_finetuned_ner_hmb_e5 is a token classification model from AmaanDhamaskar. 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
314
Public
Parameters
277M
5.6 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors1.1 GB · 98%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Nov 1, 2024
- Updated
- Nov 1, 2024
- SHA
- 7dfa7aec
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. -->
xlmr_finetuned_ner_hmb_e5
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset.
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Nov 1, 2024
- Updated
- Nov 1, 2024