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---
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
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