---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: gmra_model_gpt2_11082023T140034
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gmra_model_gpt2_11082023T140034

This model is a fine-tuned version of [gpt2](https://huggingface.co./gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3032
- Accuracy: 0.8937

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 71   | 0.7347          | 0.7487   |
| No log        | 1.99  | 142  | 0.4817          | 0.8251   |
| No log        | 2.99  | 213  | 0.4200          | 0.8533   |
| No log        | 4.0   | 285  | 0.4045          | 0.8524   |
| No log        | 5.0   | 356  | 0.3576          | 0.8761   |
| No log        | 5.99  | 427  | 0.3160          | 0.8875   |
| No log        | 6.99  | 498  | 0.2928          | 0.8998   |
| 0.734         | 8.0   | 570  | 0.3118          | 0.8910   |
| 0.734         | 9.0   | 641  | 0.3101          | 0.8893   |
| 0.734         | 9.96  | 710  | 0.3032          | 0.8937   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3