---
license: mit
base_model: gpt2
tags:
- bitnet
- 1.58b
- Distily
- generated_from_trainer
model-index:
- name: gpt2_distily
  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. -->

# gpt2_distily

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1280.4192

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| No log        | 0      | 0     | 13088.9219      |
| 2126.0        | 0.0323 | 2000  | 1936.6752       |
| 1836.0        | 0.0646 | 4000  | 1773.7856       |
| 1808.0        | 0.0970 | 6000  | 1547.3760       |
| 1546.0        | 0.1293 | 8000  | 1487.7600       |
| 1576.0        | 0.1616 | 10000 | 1449.2288       |
| 1548.0        | 0.1939 | 12000 | 1413.3920       |
| 1246.0        | 0.2263 | 14000 | 1387.0656       |
| 1516.0        | 0.2586 | 16000 | 1364.6768       |
| 1330.0        | 0.2909 | 18000 | 1346.6160       |
| 1284.0        | 0.3232 | 20000 | 1332.1040       |
| 1290.0        | 0.3556 | 22000 | 1320.7792       |
| 1390.0        | 0.3879 | 24000 | 1310.2496       |
| 1568.0        | 0.4202 | 26000 | 1302.9937       |
| 1404.0        | 0.4525 | 28000 | 1299.0112       |
| 1528.0        | 0.4848 | 30000 | 1293.5887       |
| 1263.0        | 0.5172 | 32000 | 1290.0032       |
| 1294.0        | 0.5495 | 34000 | 1287.8672       |
| 1355.0        | 0.5818 | 36000 | 1285.7808       |
| 1300.0        | 0.6141 | 38000 | 1283.5009       |
| 1368.0        | 0.6465 | 40000 | 1282.9136       |
| 1496.0        | 0.6788 | 42000 | 1281.6096       |
| 1502.0        | 0.7111 | 44000 | 1281.7408       |
| 1352.0        | 0.7434 | 46000 | 1280.9344       |
| 1418.0        | 0.7758 | 48000 | 1280.6288       |
| 1158.0        | 0.8081 | 50000 | 1280.5760       |
| 1534.0        | 0.8404 | 52000 | 1280.4000       |
| 1276.0        | 0.8727 | 54000 | 1280.4032       |
| 1184.0        | 0.9051 | 56000 | 1280.4160       |
| 1370.0        | 0.9374 | 58000 | 1280.4320       |
| 1210.0        | 0.9697 | 60000 | 1280.4192       |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.3.0
- Datasets 2.20.0
- Tokenizers 0.19.1