---
license: mit
base_model: microsoft/biogpt
tags:
- generated_from_trainer
model-index:
- name: ajax12_finetuned
  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. -->

# ajax12_finetuned

This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8420

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7455        | 1.43  | 1000 | 1.7800          |
| 1.4506        | 2.86  | 2000 | 1.7218          |
| 1.2631        | 4.29  | 3000 | 1.7590          |
| 1.1055        | 5.71  | 4000 | 1.7759          |
| 1.0248        | 7.14  | 5000 | 1.8152          |
| 0.9481        | 8.57  | 6000 | 1.8341          |
| 0.9027        | 10.0  | 7000 | 1.8420          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3