---
base_model: bayartsogt/mongolian-gpt2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_gpt-inflection-model
  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. -->

# my_awesome_gpt-inflection-model

This model is a fine-tuned version of [bayartsogt/mongolian-gpt2](https://huggingface.co/bayartsogt/mongolian-gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 9.4122
- Accuracy: 0.0010

## 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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 323  | 7.8824          | 0.0020   |
| 0.931         | 2.0   | 646  | 9.0168          | 0.0010   |
| 0.931         | 3.0   | 969  | 9.4122          | 0.0010   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1