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---
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
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