---
license: mit
base_model: microsoft/biogpt
tags:
- generated_from_trainer
model-index:
- name: BioGPT_DocBot_SonatafyAI_V1
  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. -->

# BioGPT_DocBot_SonatafyAI_V1

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: 2.8762

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1291        | 1.0   | 1109 | 2.9973          |
| 2.8675        | 2.0   | 2218 | 2.9057          |
| 2.7264        | 3.0   | 3327 | 2.8822          |
| 2.6095        | 4.0   | 4436 | 2.8706          |
| 2.548         | 5.0   | 5545 | 2.8762          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1