---
tags:
- generated_from_trainer
model-index:
- name: DNAPerceiver1_2epochs
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# DNAPerceiver1_2epochs

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: 1.3330

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 36000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.3597        | 0.3   | 6000  | 1.3565          |
| 1.3566        | 0.6   | 12000 | 1.3557          |
| 1.3514        | 0.89  | 18000 | 1.3474          |
| 1.345         | 1.19  | 24000 | 1.3410          |
| 1.3386        | 1.49  | 30000 | 1.3357          |
| 1.3348        | 1.79  | 36000 | 1.3330          |


### Framework versions

- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1