---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: hkpr_cricket_1
  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. -->

# hkpr_cricket_1

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1668

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 3.0003          |
| No log        | 2.0   | 2    | 2.9375          |
| No log        | 3.0   | 3    | 2.8773          |
| No log        | 4.0   | 4    | 2.8241          |
| No log        | 5.0   | 5    | 2.7757          |
| No log        | 6.0   | 6    | 2.7318          |
| No log        | 7.0   | 7    | 2.6911          |
| No log        | 8.0   | 8    | 2.6538          |
| No log        | 9.0   | 9    | 2.6194          |
| No log        | 10.0  | 10   | 2.5878          |
| No log        | 11.0  | 11   | 2.5584          |
| No log        | 12.0  | 12   | 2.5304          |
| No log        | 13.0  | 13   | 2.5038          |
| No log        | 14.0  | 14   | 2.4789          |
| No log        | 15.0  | 15   | 2.4554          |
| No log        | 16.0  | 16   | 2.4340          |
| No log        | 17.0  | 17   | 2.4163          |
| No log        | 18.0  | 18   | 2.4008          |
| No log        | 19.0  | 19   | 2.3853          |
| No log        | 20.0  | 20   | 2.3716          |
| No log        | 21.0  | 21   | 2.3577          |
| No log        | 22.0  | 22   | 2.3425          |
| No log        | 23.0  | 23   | 2.3279          |
| No log        | 24.0  | 24   | 2.3151          |
| No log        | 25.0  | 25   | 2.3031          |
| No log        | 26.0  | 26   | 2.2914          |
| No log        | 27.0  | 27   | 2.2794          |
| No log        | 28.0  | 28   | 2.2679          |
| No log        | 29.0  | 29   | 2.2572          |
| No log        | 30.0  | 30   | 2.2468          |
| No log        | 31.0  | 31   | 2.2381          |
| No log        | 32.0  | 32   | 2.2299          |
| No log        | 33.0  | 33   | 2.2220          |
| No log        | 34.0  | 34   | 2.2150          |
| No log        | 35.0  | 35   | 2.2089          |
| No log        | 36.0  | 36   | 2.2028          |
| No log        | 37.0  | 37   | 2.1969          |
| No log        | 38.0  | 38   | 2.1915          |
| No log        | 39.0  | 39   | 2.1869          |
| No log        | 40.0  | 40   | 2.1832          |
| No log        | 41.0  | 41   | 2.1798          |
| No log        | 42.0  | 42   | 2.1768          |
| No log        | 43.0  | 43   | 2.1744          |
| No log        | 44.0  | 44   | 2.1724          |
| No log        | 45.0  | 45   | 2.1707          |
| No log        | 46.0  | 46   | 2.1693          |
| No log        | 47.0  | 47   | 2.1683          |
| No log        | 48.0  | 48   | 2.1676          |
| No log        | 49.0  | 49   | 2.1671          |
| No log        | 50.0  | 50   | 2.1668          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2