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

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the tyzhu/wikitext-103-raw-v1-sent-permute-9 default dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8110
- Accuracy: 0.4528

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 3.1679        | 0.05  | 886   | 2.9677          | 0.4343   |
| 3.1104        | 0.1   | 1772  | 2.9295          | 0.4389   |
| 3.0801        | 0.15  | 2658  | 2.9060          | 0.4415   |
| 3.0538        | 0.2   | 3544  | 2.8885          | 0.4437   |
| 3.038         | 0.25  | 4430  | 2.8755          | 0.4451   |
| 3.0205        | 0.3   | 5316  | 2.8642          | 0.4464   |
| 3.007         | 0.35  | 6202  | 2.8554          | 0.4475   |
| 2.9944        | 0.4   | 7088  | 2.8482          | 0.4486   |
| 2.9904        | 0.45  | 7974  | 2.8409          | 0.4495   |
| 2.984         | 0.5   | 8860  | 2.8355          | 0.4502   |
| 2.9783        | 0.55  | 9746  | 2.8307          | 0.4502   |
| 2.973         | 0.6   | 10632 | 2.8271          | 0.4508   |
| 2.9652        | 0.65  | 11518 | 2.8228          | 0.4516   |
| 2.9645        | 0.7   | 12404 | 2.8203          | 0.4521   |
| 2.9609        | 0.75  | 13290 | 2.8178          | 0.4524   |
| 2.9583        | 0.8   | 14176 | 2.8158          | 0.4524   |
| 2.9548        | 0.85  | 15062 | 2.8135          | 0.4525   |
| 2.9497        | 0.9   | 15948 | 2.8122          | 0.4529   |
| 2.9516        | 0.95  | 16834 | 2.8113          | 0.4527   |


### 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-sent-permute-9"], "metrics": ["accuracy"], "base_model": "gpt2", "model-index": [{"name": "wikitext-103-raw-v1-sent-permute-9_default_gpt2", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/wikitext-103-raw-v1-sent-permute-9 default", "type": "tyzhu/wikitext-103-raw-v1-sent-permute-9", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.45283479960899314, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/wikitext-103-raw-v1-sent-permute-9 base_model:gpt2 license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us