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library_name: transformers
license: mit
base_model: microsoft/deberta-v3-large
tags:
- generated_from_trainer
model-index:
- name: deberta-v3-large_20
results: []
---
<!-- 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. -->
# deberta-v3-large_20
This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1346
- F1 Micro: 0.3303
- F1 Macro: 0.0103
- Exact Match: 0.0
## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Exact Match |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:-----------:|
| 0.0906 | 1.0 | 656 | 0.1086 | 0.5700 | 0.0268 | 0.0 |
| 0.0737 | 2.0 | 1312 | 0.0961 | 0.5972 | 0.0333 | 0.0 |
| 0.0733 | 3.0 | 1968 | 0.0963 | 0.5962 | 0.0333 | 0.0 |
| 0.0779 | 4.0 | 2624 | 0.1057 | 0.5765 | 0.0274 | 0.0 |
| 0.0776 | 5.0 | 3280 | 0.1082 | 0.5561 | 0.0282 | 0.0 |
| 0.0765 | 6.0 | 3936 | 0.1101 | 0.5552 | 0.0272 | 0.0 |
| 0.0768 | 7.0 | 4592 | 0.1099 | 0.5753 | 0.0273 | 0.0 |
| 0.0748 | 8.0 | 5248 | 0.1095 | 0.5796 | 0.0278 | 0.0 |
| 0.0756 | 9.0 | 5904 | 0.1117 | 0.5551 | 0.0245 | 0.0 |
| 0.0764 | 10.0 | 6560 | 0.1181 | 0.4265 | 0.0158 | 0.0 |
| 0.0769 | 11.0 | 7216 | 0.1089 | 0.5551 | 0.0245 | 0.0 |
| 0.0771 | 12.0 | 7872 | 0.1281 | 0.3938 | 0.0134 | 0.0 |
| 0.0761 | 13.0 | 8528 | 0.1348 | 0.3230 | 0.0102 | 0.0 |
| 0.0760 | 14.0 | 9184 | 0.1193 | 0.5551 | 0.0245 | 0.0 |
| 0.0774 | 15.0 | 9840 | 0.1327 | 0.3303 | 0.0103 | 0.0 |
| 0.0764 | 16.0 | 10496 | 0.1360 | 0.2547 | 0.0072 | 0.0 |
| 0.0754 | 17.0 | 11152 | 0.1285 | 0.3798 | 0.0130 | 0.0 |
| 0.0764 | 18.0 | 11808 | 0.1348 | 0.3303 | 0.0103 | 0.0 |
| 0.0772 | 19.0 | 12464 | 0.1327 | 0.3303 | 0.0103 | 0.0 |
| 0.0758 | 20.0 | 13120 | 0.1346 | 0.3303 | 0.0103 | 0.0 |
### Framework versions
- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
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