Downloads · 30 days
6
2% of all-time downloads
OTE-domianAdaption-ABSA-MARBERT2-HARD-run1
salohnana2018/OTE-domianAdaption-ABSA-MARBERT2-HARD-run1
OTE-domianAdaption-ABSA-MARBERT2-HARD-run1 is a token classification model from salohnana2018. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
289
Public
Repo size
1.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin649 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jun 14, 2023
- Updated
- Jun 14, 2023
- SHA
- 6dfc4e03
Try a prompt
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. -->
OTE-domianAdaption-ABSA-MARBERT2-HARD-run1
This model is a fine-tuned version of salohnana2018/MARBERTV2-domianAdaption-OTE-ABSA-HARD-7 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1274
- Precision: 0.7517
- Recall: 0.8057
- F1: 0.7778
- Accuracy: 0.9551
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: 32
- eval_batch_size: 8
- seed: 25
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2029 | 1.0 | 121 | 0.1193 | 0.7570 | 0.7683 | 0.7626 | 0.9538 |
| 0.094 | 2.0 | 242 | 0.1137 | 0.7854 | 0.7678 | 0.7765 | 0.9568 |
| 0.0685 | 3.0 | 363 | 0.1274 | 0.7517 | 0.8057 | 0.7778 | 0.9551 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Created
- Jun 14, 2023
- Updated
- Jun 14, 2023