---
tags:
- generated_from_trainer
model-index:
- name: ar-adapter-32
  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. -->

# ar-adapter-32

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.3886

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 352  | 5.6861          |
| 5.7356        | 2.0   | 704  | 5.5388          |
| 5.5308        | 3.0   | 1056 | 5.4493          |
| 5.5308        | 4.0   | 1408 | 5.4030          |
| 5.4304        | 5.0   | 1760 | 5.3886          |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1