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---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
- bleu
model-index:
- name: parallel-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. -->
# parallel-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: 3.2350
- Accuracy: 0.4161
- Perplexity: 25.4075
- Bleu: 0.1473
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:----------:|:------:|
| 6.077 | 0.2806 | 500 | 5.9554 | 0.1870 | 385.8189 | 0.0352 |
| 5.1123 | 0.5612 | 1000 | 4.9836 | 0.2568 | 145.9931 | 0.0625 |
| 4.4123 | 0.8418 | 1500 | 4.3035 | 0.3159 | 73.9588 | 0.0843 |
| 4.0245 | 1.1223 | 2000 | 3.9678 | 0.3470 | 52.8693 | 0.1076 |
| 3.8298 | 1.4029 | 2500 | 3.7842 | 0.3630 | 44.0014 | 0.1166 |
| 3.7181 | 1.6835 | 3000 | 3.6620 | 0.3733 | 38.9404 | 0.1272 |
| 3.6123 | 1.9641 | 3500 | 3.5694 | 0.3818 | 35.4958 | 0.1311 |
| 3.4993 | 2.2447 | 4000 | 3.5029 | 0.3877 | 33.2118 | 0.1384 |
| 3.4358 | 2.5253 | 4500 | 3.4484 | 0.3930 | 31.4506 | 0.1358 |
| 3.4039 | 2.8058 | 5000 | 3.3989 | 0.3979 | 29.9323 | 0.1403 |
| 3.2908 | 3.0864 | 5500 | 3.3633 | 0.4018 | 28.8837 | 0.1409 |
| 3.2828 | 3.3670 | 6000 | 3.3326 | 0.4051 | 28.0103 | 0.1446 |
| 3.2606 | 3.6476 | 6500 | 3.3031 | 0.4081 | 27.1958 | 0.1457 |
| 3.234 | 3.9282 | 7000 | 3.2796 | 0.4106 | 26.5655 | 0.1433 |
| 3.1713 | 4.2088 | 7500 | 3.2621 | 0.4126 | 26.1045 | 0.1461 |
| 3.1314 | 4.4893 | 8000 | 3.2476 | 0.4145 | 25.7281 | 0.1455 |
| 3.1412 | 4.7699 | 8500 | 3.2350 | 0.4161 | 25.4075 | 0.1473 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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