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---
library_name: peft
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Se124M10KInfPrompt_endtoken
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
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: 0.6872
## 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: 8
- eval_batch_size: 8
- seed: 42
- 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
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8085 | 1.0 | 610 | 0.7760 |
| 0.7801 | 2.0 | 1220 | 0.7436 |
| 0.7608 | 3.0 | 1830 | 0.7269 |
| 0.7438 | 4.0 | 2440 | 0.7199 |
| 0.7413 | 5.0 | 3050 | 0.7118 |
| 0.7343 | 6.0 | 3660 | 0.7121 |
| 0.7332 | 7.0 | 4270 | 0.7089 |
| 0.7319 | 8.0 | 4880 | 0.7025 |
| 0.7289 | 9.0 | 5490 | 0.7001 |
| 0.7236 | 10.0 | 6100 | 0.6965 |
| 0.7147 | 11.0 | 6710 | 0.6970 |
| 0.7126 | 12.0 | 7320 | 0.6973 |
| 0.7167 | 13.0 | 7930 | 0.6935 |
| 0.711 | 14.0 | 8540 | 0.6927 |
| 0.7057 | 15.0 | 9150 | 0.6940 |
| 0.7109 | 16.0 | 9760 | 0.6924 |
| 0.7117 | 17.0 | 10370 | 0.6928 |
| 0.7086 | 18.0 | 10980 | 0.6882 |
| 0.7004 | 19.0 | 11590 | 0.6872 |
| 0.7016 | 20.0 | 12200 | 0.6895 |
| 0.7027 | 21.0 | 12810 | 0.6884 |
| 0.6928 | 22.0 | 13420 | 0.6885 |
| 0.7059 | 23.0 | 14030 | 0.6894 |
| 0.6916 | 24.0 | 14640 | 0.6875 |
### Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1 |