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refinement-finetuned-mnli-1
mfreihaut/refinement-finetuned-mnli-1
refinement-finetuned-mnli-1 is a text classification model from mfreihaut. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Sep 28, 2022
- Updated
- Sep 29, 2022
- SHA
- 54d3d999
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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. -->
refinement-finetuned-mnli-1
This model is a fine-tuned version of mfreihaut/refinement-finetuned-mnli-1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.9744
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 50 | 3.6639 |
| No log | 2.0 | 100 | 3.1760 |
| No log | 3.0 | 150 | 3.5147 |
| No log | 4.0 | 200 | 7.2978 |
| No log | 5.0 | 250 | 6.9823 |
| No log | 6.0 | 300 | 6.1548 |
| No log | 7.0 | 350 | 1.8893 |
| No log | 8.0 | 400 | 3.4601 |
| No log | 9.0 | 450 | 5.1852 |
| 0.9791 | 10.0 | 500 | 5.1913 |
| 0.9791 | 11.0 | 550 | 2.7786 |
| 0.9791 | 12.0 | 600 | 6.8241 |
| 0.9791 | 13.0 | 650 | 5.2724 |
| 0.9791 | 14.0 | 700 | 4.7973 |
| 0.9791 | 15.0 | 750 | 6.1139 |
| 0.9791 | 16.0 | 800 | 6.5590 |
| 0.9791 | 17.0 | 850 | 5.6065 |
| 0.9791 | 18.0 | 900 | 6.4056 |
| 0.9791 | 19.0 | 950 | 5.7737 |
| 0.3292 | 20.0 | 1000 | 5.6033 |
| 0.3292 | 21.0 | 1050 | 6.8969 |
| 0.3292 | 22.0 | 1100 | 6.3766 |
| 0.3292 | 23.0 | 1150 | 6.1115 |
| 0.3292 | 24.0 | 1200 | 6.3750 |
| 0.3292 | 25.0 | 1250 | 6.3604 |
| 0.3292 | 26.0 | 1300 | 6.4051 |
| 0.3292 | 27.0 | 1350 | 6.7069 |
| 0.3292 | 28.0 | 1400 | 6.3017 |
| 0.3292 | 29.0 | 1450 | 6.9539 |
| 0.2482 | 30.0 | 1500 | 6.9133 |
| 0.2482 | 31.0 | 1550 | 6.5188 |
| 0.2482 | 32.0 | 1600 | 6.7478 |
| 0.2482 | 33.0 | 1650 | 6.5621 |
| 0.2482 | 34.0 | 1700 | 6.9490 |
| 0.2482 | 35.0 | 1750 | 6.6875 |
| 0.2482 | 36.0 | 1800 | 6.7723 |
| 0.2482 | 37.0 | 1850 | 6.5755 |
| 0.2482 | 38.0 | 1900 | 6.8727 |
| 0.2482 | 39.0 | 1950 | 6.8581 |
| 0.2245 | 40.0 | 2000 | 6.9993 |
| 0.2245 | 41.0 | 2050 | 7.1120 |
| 0.2245 | 42.0 | 2100 | 7.2491 |
| 0.2245 | 43.0 | 2150 | 7.0870 |
| 0.2245 | 44.0 | 2200 | 7.3960 |
| 0.2245 | 45.0 | 2250 | 7.0658 |
| 0.2245 | 46.0 | 2300 | 7.0175 |
| 0.2245 | 47.0 | 2350 | 7.0082 |
| 0.2245 | 48.0 | 2400 | 6.9570 |
| 0.2245 | 49.0 | 2450 | 6.9720 |
| 0.2124 | 50.0 | 2500 | 6.9744 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.10.0
- Datasets 2.5.1
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Sep 28, 2022
- Updated
- Sep 29, 2022