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# wikitext-103-raw-v1-para-permute-9_default_gpt2

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the tyzhu/wikitext-103-raw-v1-para-permute-9 default dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0115
- Accuracy: 0.4330

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.3275        | 0.05  | 7191   | 3.2041          | 0.4096   |
| 3.2525        | 0.1   | 14382  | 3.1577          | 0.4147   |
| 3.2088        | 0.15  | 21573  | 3.1253          | 0.4187   |
| 3.1731        | 0.2   | 28764  | 3.1064          | 0.4204   |
| 3.152         | 0.25  | 35955  | 3.0893          | 0.4223   |
| 3.1322        | 0.3   | 43146  | 3.0767          | 0.4239   |
| 3.1161        | 0.35  | 50337  | 3.0662          | 0.4253   |
| 3.0986        | 0.4   | 57528  | 3.0572          | 0.4270   |
| 3.0893        | 0.45  | 64719  | 3.0478          | 0.4281   |
| 3.077         | 0.5   | 71910  | 3.0448          | 0.4288   |
| 3.0644        | 0.55  | 79101  | 3.0376          | 0.4292   |
| 3.0602        | 0.6   | 86292  | 3.0321          | 0.4303   |
| 3.0512        | 0.65  | 93483  | 3.0279          | 0.4314   |
| 3.0452        | 0.7   | 100674 | 3.0242          | 0.4320   |
| 3.0399        | 0.75  | 107865 | 3.0214          | 0.4319   |
| 3.0341        | 0.8   | 115056 | 3.0184          | 0.4326   |
| 3.0291        | 0.85  | 122247 | 3.0159          | 0.4325   |
| 3.0257        | 0.9   | 129438 | 3.0134          | 0.4329   |
| 3.0252        | 0.95  | 136629 | 3.0119          | 0.4329   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["tyzhu/wikitext-103-raw-v1-para-permute-9"], "metrics": ["accuracy"], "base_model": "gpt2", "model-index": [{"name": "wikitext-103-raw-v1-para-permute-9_default_gpt2", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/wikitext-103-raw-v1-para-permute-9 default", "type": "tyzhu/wikitext-103-raw-v1-para-permute-9", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.43303414793358086, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/wikitext-103-raw-v1-para-permute-9 base_model:gpt2 license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us