---
library_name: peft
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Se124M10KInfPrompt_WT_EOS
  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_WT_EOS

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: 1.0978

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.2645        | 0.5970 | 20   | 2.8750          |
| 3.0103        | 1.1791 | 40   | 2.6534          |
| 2.7014        | 1.7761 | 60   | 2.3720          |
| 2.3851        | 2.3582 | 80   | 2.1090          |
| 2.1288        | 2.9552 | 100  | 1.8650          |
| 1.9062        | 3.5373 | 120  | 1.6703          |
| 1.739         | 4.1194 | 140  | 1.5153          |
| 1.6033        | 4.7164 | 160  | 1.3879          |
| 1.5039        | 5.2985 | 180  | 1.2845          |
| 1.4219        | 5.8955 | 200  | 1.2122          |
| 1.357         | 6.4776 | 220  | 1.1649          |
| 1.3201        | 7.0597 | 240  | 1.1304          |
| 1.2923        | 7.6567 | 260  | 1.1101          |
| 1.2831        | 8.2388 | 280  | 1.1035          |
| 1.2715        | 8.8358 | 300  | 1.1007          |
| 1.2721        | 9.4179 | 320  | 1.0986          |


### Framework versions

- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1