---
library_name: transformers
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: gen-text-poems
  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. -->

# gen-text-poems

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 8.5785

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 10.1858         |
| No log        | 2.0   | 2    | 9.8156          |
| No log        | 3.0   | 3    | 9.5954          |
| No log        | 4.0   | 4    | 9.4465          |
| No log        | 5.0   | 5    | 9.3399          |
| No log        | 6.0   | 6    | 9.2648          |
| No log        | 7.0   | 7    | 9.2078          |
| No log        | 8.0   | 8    | 9.1611          |
| No log        | 9.0   | 9    | 9.1152          |
| 9.3954        | 10.0  | 10   | 9.0680          |
| 9.3954        | 11.0  | 11   | 9.0206          |
| 9.3954        | 12.0  | 12   | 8.9763          |
| 9.3954        | 13.0  | 13   | 8.9398          |
| 9.3954        | 14.0  | 14   | 8.9157          |
| 9.3954        | 15.0  | 15   | 8.8867          |
| 9.3954        | 16.0  | 16   | 8.8490          |
| 9.3954        | 17.0  | 17   | 8.8148          |
| 9.3954        | 18.0  | 18   | 8.7874          |
| 9.3954        | 19.0  | 19   | 8.7735          |
| 8.3204        | 20.0  | 20   | 8.7601          |
| 8.3204        | 21.0  | 21   | 8.7281          |
| 8.3204        | 22.0  | 22   | 8.6956          |
| 8.3204        | 23.0  | 23   | 8.6778          |
| 8.3204        | 24.0  | 24   | 8.6708          |
| 8.3204        | 25.0  | 25   | 8.6569          |
| 8.3204        | 26.0  | 26   | 8.6378          |
| 8.3204        | 27.0  | 27   | 8.6196          |
| 8.3204        | 28.0  | 28   | 8.6066          |
| 8.3204        | 29.0  | 29   | 8.6014          |
| 7.5838        | 30.0  | 30   | 8.6017          |
| 7.5838        | 31.0  | 31   | 8.6036          |
| 7.5838        | 32.0  | 32   | 8.5972          |
| 7.5838        | 33.0  | 33   | 8.5879          |
| 7.5838        | 34.0  | 34   | 8.5830          |
| 7.5838        | 35.0  | 35   | 8.5835          |
| 7.5838        | 36.0  | 36   | 8.5827          |
| 7.5838        | 37.0  | 37   | 8.5812          |
| 7.5838        | 38.0  | 38   | 8.5794          |
| 7.5838        | 39.0  | 39   | 8.5804          |
| 7.1554        | 40.0  | 40   | 8.5795          |
| 7.1554        | 41.0  | 41   | 8.5774          |
| 7.1554        | 42.0  | 42   | 8.5772          |
| 7.1554        | 43.0  | 43   | 8.5767          |
| 7.1554        | 44.0  | 44   | 8.5766          |
| 7.1554        | 45.0  | 45   | 8.5772          |
| 7.1554        | 46.0  | 46   | 8.5781          |
| 7.1554        | 47.0  | 47   | 8.5785          |


### Framework versions

- Transformers 4.56.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0