Downloads · 30 days
5
5% of all-time downloads
mT0_for_token_classification
alexandro767/mT0_for_token_classification
mT0_for_token_classification is a token classification model from alexandro767. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
96
Public
Parameters
277M
1.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.1 GB · 98%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Mar 6, 2025
- Updated
- Mar 6, 2025
- SHA
- 4cd69c33
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. -->
alexandro767/mT0-base-toxic-spans-detection-baseline-9L
This model is a fine-tuned version of bigscience/mt0-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0720
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: 9e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 256
- optimizer: Use adafactor and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 4
Training results
Framework versions
- Transformers 4.48.3
- Pytorch 2.2.0
- Datasets 3.3.0
- Tokenizers 0.21.0
- Task
- Token Classification
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Mar 6, 2025
- Updated
- Mar 6, 2025