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---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
- bleu
model-index:
- name: rotating-head-lr-norm-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. -->
# rotating-head-lr-norm-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: 3.2154
- Accuracy: 0.4186
- Perplexity: 24.9126
- Bleu: 0.1314
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:----------:|:------:|
| 5.9061 | 0.2806 | 500 | 5.7498 | 0.2230 | 314.1125 | 0.0496 |
| 4.8622 | 0.5612 | 1000 | 4.7414 | 0.2810 | 114.5910 | 0.0705 |
| 4.3006 | 0.8418 | 1500 | 4.2267 | 0.3182 | 68.4878 | 0.0834 |
| 3.9714 | 1.1223 | 2000 | 3.9429 | 0.3439 | 51.5654 | 0.0924 |
| 3.7835 | 1.4029 | 2500 | 3.7523 | 0.3629 | 42.6192 | 0.0969 |
| 3.6732 | 1.6835 | 3000 | 3.6293 | 0.3750 | 37.6861 | 0.1067 |
| 3.5764 | 1.9641 | 3500 | 3.5353 | 0.3848 | 34.3055 | 0.1124 |
| 3.4733 | 2.2447 | 4000 | 3.4822 | 0.3899 | 32.5321 | 0.1183 |
| 3.4163 | 2.5253 | 4500 | 3.4356 | 0.3946 | 31.0488 | 0.1253 |
| 3.3818 | 2.8058 | 5000 | 3.3806 | 0.4006 | 29.3886 | 0.1215 |
| 3.2827 | 3.0864 | 5500 | 3.3539 | 0.4028 | 28.6152 | 0.1308 |
| 3.2712 | 3.3670 | 6000 | 3.3233 | 0.4067 | 27.7517 | 0.1289 |
| 3.247 | 3.6476 | 6500 | 3.2908 | 0.4098 | 26.8652 | 0.1304 |
| 3.2203 | 3.9282 | 7000 | 3.2657 | 0.4126 | 26.1980 | 0.1278 |
| 3.1558 | 4.2088 | 7500 | 3.2440 | 0.4152 | 25.6357 | 0.1319 |
| 3.1152 | 4.4893 | 8000 | 3.2283 | 0.4169 | 25.2358 | 0.1301 |
| 3.1228 | 4.7699 | 8500 | 3.2154 | 0.4186 | 24.9126 | 0.1314 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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