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checkpoints_2_18
Rzoro/checkpoints_2_18
checkpoints_2_18 is a multiple choice model from Rzoro. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- Model type
- deberta-v2
- Access
- Public
- Created
- Sep 25, 2023
- Updated
- Sep 25, 2023
- SHA
- fa962200
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. -->
checkpoints_2_18
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0162
- Map@3: 0.7248
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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 0
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Map@3 |
|---|---|---|---|---|
| 1.1455 | 0.04 | 200 | 1.0242 | 0.7222 |
| 1.1247 | 0.08 | 400 | 1.0420 | 0.7233 |
| 1.0755 | 0.13 | 600 | 1.0358 | 0.7222 |
| 1.003 | 0.17 | 800 | 1.1454 | 0.7258 |
| 1.0276 | 0.21 | 1000 | 1.0685 | 0.7205 |
| 0.9733 | 0.25 | 1200 | 1.1443 | 0.7050 |
| 1.0409 | 0.29 | 1400 | 1.1388 | 0.7012 |
| 0.9511 | 0.34 | 1600 | 1.1830 | 0.7197 |
| 1.0153 | 0.38 | 1800 | 1.1344 | 0.7172 |
| 1.0024 | 0.42 | 2000 | 1.1659 | 0.7212 |
| 0.9657 | 0.46 | 2200 | 1.1938 | 0.7100 |
| 0.9993 | 0.51 | 2400 | 1.1777 | 0.7042 |
| 1.0174 | 0.55 | 2600 | 1.0811 | 0.7145 |
| 0.9792 | 0.59 | 2800 | 1.1281 | 0.7162 |
| 1.0442 | 0.63 | 3000 | 1.0792 | 0.7133 |
| 1.075 | 0.67 | 3200 | 1.0900 | 0.7165 |
| 1.1424 | 0.72 | 3400 | 1.0698 | 0.7188 |
| 1.1411 | 0.76 | 3600 | 1.0476 | 0.7193 |
| 1.172 | 0.8 | 3800 | 1.0318 | 0.7225 |
| 1.208 | 0.84 | 4000 | 1.0224 | 0.7225 |
| 1.1975 | 0.88 | 4200 | 1.0195 | 0.7245 |
| 1.2282 | 0.93 | 4400 | 1.0168 | 0.7238 |
| 1.2635 | 0.97 | 4600 | 1.0162 | 0.7248 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- multiple choice
- Library
- transformers
- Type
- deberta-v2
- Created
- Sep 25, 2023
- Updated
- Sep 25, 2023