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# checkpoints_10_2_microsoft_deberta_V1.2_384

This model is a fine-tuned version of [VuongQuoc/checkpoints_10_1_microsoft_deberta_V1.1_384](https://huggingface.co/VuongQuoc/checkpoints_10_1_microsoft_deberta_V1.1_384) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6698
- Map@3: 0.8683
- Accuracy: 0.785

## 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-06
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Map@3  | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| 0.8295        | 0.05  | 100  | 0.7767          | 0.8450 | 0.75     |
| 0.7279        | 0.11  | 200  | 0.7538          | 0.8558 | 0.765    |
| 0.6976        | 0.16  | 300  | 0.7334          | 0.8633 | 0.775    |
| 0.7022        | 0.21  | 400  | 0.7152          | 0.8550 | 0.77     |
| 0.6997        | 0.27  | 500  | 0.7223          | 0.8592 | 0.77     |
| 0.7001        | 0.32  | 600  | 0.7229          | 0.8500 | 0.755    |
| 0.7           | 0.37  | 700  | 0.6855          | 0.8675 | 0.785    |
| 0.7384        | 0.43  | 800  | 0.6737          | 0.8683 | 0.785    |
| 0.8378        | 0.48  | 900  | 0.6694          | 0.87   | 0.79     |
| 0.8093        | 0.53  | 1000 | 0.6715          | 0.8692 | 0.785    |
| 0.8035        | 0.59  | 1100 | 0.6699          | 0.8683 | 0.785    |
| 0.7825        | 0.64  | 1200 | 0.6698          | 0.8683 | 0.785    |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.9.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "VuongQuoc/checkpoints_10_1_microsoft_deberta_V1.1_384", "model-index": [{"name": "checkpoints_10_2_microsoft_deberta_V1.2_384", "results": []}]}
transformers pytorch deberta-v2 multiple-choice generated_from_trainer base_model:VuongQuoc/checkpoints_10_1_microsoft_deberta_V1.1_384 endpoints_compatible region:us