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finetuning_results2
DanielSM/finetuning_results2
finetuning_results2 is a text classification model from DanielSM. Use it when you need a label for a piece of text. 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
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 6, 2022
- Updated
- Jun 6, 2022
- SHA
- 5017dc4b
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. -->
finetuning_results
This model is a fine-tuned version of DanielSM/finetuning_results on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
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: 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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0555 | 1.0 | 50 | 0.0003 | 1.0 |
| 0.0064 | 2.0 | 100 | 0.0001 | 1.0 |
| 0.002 | 3.0 | 150 | 0.0000 | 1.0 |
| 0.0027 | 4.0 | 200 | 0.0000 | 1.0 |
| 0.0001 | 5.0 | 250 | 0.0000 | 1.0 |
| 0.0001 | 6.0 | 300 | 0.0000 | 1.0 |
| 0.0001 | 7.0 | 350 | 0.0000 | 1.0 |
| 0.0001 | 8.0 | 400 | 0.0000 | 1.0 |
| 0.0001 | 9.0 | 450 | 0.0000 | 1.0 |
| 0.0001 | 10.0 | 500 | 0.0000 | 1.0 |
| 0.0001 | 11.0 | 550 | 0.0000 | 1.0 |
| 0.0001 | 12.0 | 600 | 0.0000 | 1.0 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 6, 2022
- Updated
- Jun 6, 2022