---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-tiny-4l-10M
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# roberta-tiny-4l-10M

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.3432
- Accuracy: 0.0513

## 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: 0.0007
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 128
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 100.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 7.4785        | 4.16  | 50   | 7.3834          | 0.0514   |
| 7.425         | 8.33  | 100  | 7.3559          | 0.0514   |
| 7.4187        | 12.49 | 150  | 7.3517          | 0.0512   |
| 7.4204        | 16.66 | 200  | 7.3440          | 0.0514   |
| 7.4099        | 20.82 | 250  | 7.3454          | 0.0515   |
| 7.2916        | 24.99 | 300  | 7.3442          | 0.0515   |
| 7.4117        | 29.16 | 350  | 7.3440          | 0.0513   |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.11.0+cu113
- Datasets 2.6.1
- Tokenizers 0.12.1