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# NoPhone_NextItem_ModelRoberta_2ndLayer

This model is a fine-tuned version of [BIctminh/NextItem_ModelRoberta](https://huggingface.co/BIctminh/NextItem_ModelRoberta) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5883
- Accuracy: 0.6798

## 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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4282        | 1.0   | 1283 | 1.5186          | 0.6355   |
| 0.8999        | 2.0   | 2566 | 1.5023          | 0.6767   |
| 0.7116        | 3.0   | 3849 | 1.4852          | 0.6844   |
| 0.5831        | 4.0   | 5132 | 1.5928          | 0.6650   |
| 0.4714        | 5.0   | 6415 | 1.5883          | 0.6798   |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.1.2+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "BIctminh/NextItem_ModelRoberta", "model-index": [{"name": "NoPhone_NextItem_ModelRoberta_2ndLayer", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:BIctminh/NextItem_ModelRoberta license:mit autotrain_compatible endpoints_compatible region:us