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---
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
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