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mt5_base_lr3e-05_bs4_ep3
dariast/mt5_base_lr3e-05_bs4_ep3
mt5_base_lr3e-05_bs4_ep3 is a token classification model from dariast. 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. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Mar 14, 2025
- Updated
- Mar 14, 2025
- SHA
- e8ec57e5
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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. -->
mt5_base_lr3e-05_bs4_ep3
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4883
- Precision: 0.5950
- Recall: 0.2925
- F1: 0.3922
- Accuracy: 0.7879
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.1875 | 1.0 | 860 | 0.5606 | 0.6255 | 0.0959 | 0.1662 | 0.7750 |
| 0.6539 | 2.0 | 1720 | 0.4923 | 0.5507 | 0.3642 | 0.4384 | 0.7817 |
| 0.5954 | 3.0 | 2580 | 0.4883 | 0.5950 | 0.2925 | 0.3922 | 0.7879 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Task
- Token Classification
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Mar 14, 2025
- Updated
- Mar 14, 2025