---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
- bleu
model-index:
- name: dd-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. -->

# dd-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: 3.3729
- Accuracy: 0.4006
- Perplexity: 29.1627
- Bleu: 0.1356

## 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   |
|:-------------:|:------:|:----:|:---------------:|:--------:|:----------:|:------:|
| 6.3499        | 0.2806 | 500  | 6.2328          | 0.1688   | 509.1785   | 0.0261 |
| 5.4979        | 0.5612 | 1000 | 5.3734          | 0.2228   | 215.6041   | 0.0506 |
| 4.8996        | 0.8418 | 1500 | 4.7975          | 0.2650   | 121.2067   | 0.0669 |
| 4.5102        | 1.1223 | 2000 | 4.4042          | 0.2992   | 81.7968    | 0.0791 |
| 4.2029        | 1.4029 | 2500 | 4.1110          | 0.3301   | 61.0070    | 0.0887 |
| 4.0332        | 1.6835 | 3000 | 3.9383          | 0.3457   | 51.3319    | 0.0996 |
| 3.8911        | 1.9641 | 3500 | 3.8146          | 0.3575   | 45.3566    | 0.1107 |
| 3.7698        | 2.2447 | 4000 | 3.7189          | 0.3663   | 41.2194    | 0.1154 |
| 3.6812        | 2.5253 | 4500 | 3.6449          | 0.3729   | 38.2808    | 0.1225 |
| 3.63          | 2.8058 | 5000 | 3.5815          | 0.3790   | 35.9274    | 0.1216 |
| 3.5287        | 3.0864 | 5500 | 3.5309          | 0.3840   | 34.1532    | 0.1261 |
| 3.5032        | 3.3670 | 6000 | 3.4913          | 0.3883   | 32.8286    | 0.1302 |
| 3.4684        | 3.6476 | 6500 | 3.4542          | 0.3917   | 31.6327    | 0.1304 |
| 3.4365        | 3.9282 | 7000 | 3.4250          | 0.3949   | 30.7240    | 0.1303 |
| 3.3894        | 4.2088 | 7500 | 3.4020          | 0.3973   | 30.0227    | 0.1327 |
| 3.3446        | 4.4893 | 8000 | 3.3850          | 0.3992   | 29.5189    | 0.1336 |
| 3.3532        | 4.7699 | 8500 | 3.3729          | 0.4006   | 29.1627    | 0.1356 |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0