---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: problem2-test
  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. -->

# problem2-test

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2281
- Accuracy: 0.5574

## 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-05
- 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_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.9   | 7    | 6.2748          | 0.0      |
| 7.4671        | 1.9   | 14   | 5.1777          | 0.5738   |
| 5.3033        | 2.9   | 21   | 4.4616          | 0.5902   |
| 5.3033        | 3.9   | 28   | 5.1811          | 0.5246   |
| 4.1105        | 4.9   | 35   | 4.2281          | 0.5574   |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1
- Datasets 2.6.0
- Tokenizers 0.13.1