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---
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
model-index:
- name: DYG_DistillGPT2
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. -->
# DYG_DistillGPT2
This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4678
## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 8 | 0.6735 |
| No log | 2.0 | 16 | 0.6331 |
| No log | 3.0 | 24 | 0.6168 |
| No log | 4.0 | 32 | 0.5801 |
| No log | 5.0 | 40 | 0.5487 |
| No log | 6.0 | 48 | 0.5625 |
| No log | 7.0 | 56 | 0.5189 |
| No log | 8.0 | 64 | 0.4941 |
| No log | 9.0 | 72 | 0.4708 |
| No log | 10.0 | 80 | 0.4678 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|