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---
license: cc-by-4.0
base_model: deepset/deberta-v3-large-squad2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: NLP_A2
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. -->
# NLP_A2
Homework model for NLP class (A2).
It achieves the following results on the evaluation set:
- Loss: 0.3488
- Accuracy: 0.8840
## 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: 6e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log | 0.9988 | 419 | 0.3791 | 0.8706 |
| 0.1279 | 1.9976 | 838 | 0.3488 | 0.8840 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1
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