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---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
- bleu
model-index:
- name: gpt2-medium-wikitext
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. -->
# gpt2-medium-wikitext
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1666
- Accuracy: 0.4218
- Perplexity: 23.7262
- Bleu: 0.1462
## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Perplexity | Bleu |
|:-------------:|:------:|:----:|:---------------:|:--------:|:----------:|:------:|
| 6.078 | 0.2806 | 500 | 5.9534 | 0.1875 | 385.0606 | 0.0310 |
| 5.0653 | 0.5612 | 1000 | 4.9232 | 0.2616 | 137.4410 | 0.0633 |
| 4.3357 | 0.8418 | 1500 | 4.2163 | 0.3222 | 67.7828 | 0.0857 |
| 3.9453 | 1.1223 | 2000 | 3.8824 | 0.3534 | 48.5418 | 0.1107 |
| 3.7572 | 1.4029 | 2500 | 3.7058 | 0.3684 | 40.6810 | 0.1217 |
| 3.6475 | 1.6835 | 3000 | 3.5827 | 0.3788 | 35.9700 | 0.1306 |
| 3.5431 | 1.9641 | 3500 | 3.4927 | 0.3878 | 32.8733 | 0.1347 |
| 3.4221 | 2.2447 | 4000 | 3.4283 | 0.3939 | 30.8231 | 0.1356 |
| 3.36 | 2.5253 | 4500 | 3.3719 | 0.3996 | 29.1351 | 0.1384 |
| 3.3281 | 2.8058 | 5000 | 3.3257 | 0.4041 | 27.8193 | 0.1369 |
| 3.2071 | 3.0864 | 5500 | 3.2885 | 0.4080 | 26.8024 | 0.1442 |
| 3.2002 | 3.3670 | 6000 | 3.2594 | 0.4117 | 26.0335 | 0.1477 |
| 3.1778 | 3.6476 | 6500 | 3.2319 | 0.4142 | 25.3278 | 0.1436 |
| 3.1523 | 3.9282 | 7000 | 3.2091 | 0.4167 | 24.7565 | 0.1462 |
| 3.0842 | 4.2088 | 7500 | 3.1917 | 0.4185 | 24.3289 | 0.1434 |
| 3.0465 | 4.4893 | 8000 | 3.1789 | 0.4201 | 24.0197 | 0.1460 |
| 3.0563 | 4.7699 | 8500 | 3.1666 | 0.4218 | 23.7262 | 0.1462 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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