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---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
- bleu
model-index:
- name: rotating-head-gp-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-gp-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: 3.2113
- Accuracy: 0.4180
- Perplexity: 24.8108
- Bleu: 0.1307
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:----------:|:------:|
| 5.9057 | 0.2806 | 500 | 5.7484 | 0.2234 | 313.6789 | 0.0477 |
| 4.8613 | 0.5612 | 1000 | 4.7455 | 0.2807 | 115.0632 | 0.0711 |
| 4.2976 | 0.8418 | 1500 | 4.2220 | 0.3187 | 68.1694 | 0.0837 |
| 3.9568 | 1.1223 | 2000 | 3.9271 | 0.3461 | 50.7582 | 0.0934 |
| 3.7919 | 1.4029 | 2500 | 3.7617 | 0.3626 | 43.0211 | 0.0942 |
| 3.692 | 1.6835 | 3000 | 3.6573 | 0.3725 | 38.7561 | 0.1052 |
| 3.5939 | 1.9641 | 3500 | 3.5628 | 0.3818 | 35.2616 | 0.1094 |
| 3.483 | 2.2447 | 4000 | 3.4932 | 0.3879 | 32.8924 | 0.1140 |
| 3.4251 | 2.5253 | 4500 | 3.4391 | 0.3933 | 31.1583 | 0.1204 |
| 3.3876 | 2.8058 | 5000 | 3.3855 | 0.3991 | 29.5323 | 0.1227 |
| 3.2719 | 3.0864 | 5500 | 3.3499 | 0.4020 | 28.5004 | 0.1246 |
| 3.2612 | 3.3670 | 6000 | 3.3160 | 0.4062 | 27.5488 | 0.1283 |
| 3.2373 | 3.6476 | 6500 | 3.2848 | 0.4095 | 26.7034 | 0.1288 |
| 3.2086 | 3.9282 | 7000 | 3.2598 | 0.4118 | 26.0453 | 0.1297 |
| 3.1402 | 4.2088 | 7500 | 3.2398 | 0.4146 | 25.5281 | 0.1344 |
| 3.1002 | 4.4893 | 8000 | 3.2246 | 0.4162 | 25.1447 | 0.1317 |
| 3.1099 | 4.7699 | 8500 | 3.2113 | 0.4180 | 24.8108 | 0.1307 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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