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---
library_name: peft
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Se124M10KInfPrompt_endtoken_ls
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. -->
# Se124M10KInfPrompt_endtoken_ls
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: 2.0494
## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 50
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 19.0863 | 1.0 | 267 | 2.1942 |
| 17.6413 | 2.0 | 534 | 2.1318 |
| 17.3454 | 3.0 | 801 | 2.1143 |
| 17.2455 | 4.0 | 1068 | 2.0979 |
| 17.112 | 5.0 | 1335 | 2.0918 |
| 17.0311 | 6.0 | 1602 | 2.0852 |
| 16.9714 | 7.0 | 1869 | 2.0805 |
| 16.8883 | 8.0 | 2136 | 2.0760 |
| 16.8675 | 9.0 | 2403 | 2.0727 |
| 16.8491 | 10.0 | 2670 | 2.0699 |
| 16.8653 | 11.0 | 2937 | 2.0698 |
| 16.7795 | 12.0 | 3204 | 2.0718 |
| 16.8033 | 13.0 | 3471 | 2.0635 |
| 16.7715 | 14.0 | 3738 | 2.0644 |
| 16.7677 | 15.0 | 4005 | 2.0632 |
| 16.7682 | 16.0 | 4272 | 2.0615 |
| 16.7473 | 17.0 | 4539 | 2.0598 |
| 16.7306 | 18.0 | 4806 | 2.0615 |
| 16.6896 | 19.0 | 5073 | 2.0586 |
| 16.7027 | 20.0 | 5340 | 2.0589 |
| 16.6991 | 21.0 | 5607 | 2.0581 |
| 16.6864 | 22.0 | 5874 | 2.0573 |
| 16.6749 | 23.0 | 6141 | 2.0562 |
| 16.6714 | 24.0 | 6408 | 2.0551 |
| 16.6603 | 25.0 | 6675 | 2.0546 |
| 16.6801 | 26.0 | 6942 | 2.0542 |
| 16.6263 | 27.0 | 7209 | 2.0541 |
| 16.6436 | 28.0 | 7476 | 2.0531 |
| 16.6471 | 29.0 | 7743 | 2.0523 |
| 16.6412 | 30.0 | 8010 | 2.0549 |
| 16.6017 | 31.0 | 8277 | 2.0529 |
| 16.6352 | 32.0 | 8544 | 2.0510 |
| 16.5937 | 33.0 | 8811 | 2.0522 |
| 16.6165 | 34.0 | 9078 | 2.0511 |
| 16.5961 | 35.0 | 9345 | 2.0518 |
| 16.5675 | 36.0 | 9612 | 2.0514 |
| 16.5565 | 37.0 | 9879 | 2.0499 |
| 16.6215 | 38.0 | 10146 | 2.0504 |
| 16.6133 | 39.0 | 10413 | 2.0505 |
| 16.5901 | 40.0 | 10680 | 2.0492 |
| 16.5841 | 41.0 | 10947 | 2.0500 |
| 16.5856 | 42.0 | 11214 | 2.0493 |
| 16.5775 | 43.0 | 11481 | 2.0494 |
| 16.5873 | 44.0 | 11748 | 2.0497 |
| 16.5285 | 45.0 | 12015 | 2.0494 |
### Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1 |