---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-emailgen_DS-multi_Ep-5_Bs-8
  results: []
---

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# distilgpt2-emailgen_DS-multi_Ep-5_Bs-8

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6247

## 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: 6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8299        | 1.0   | 248  | 2.7971          |
| 2.6984        | 2.0   | 496  | 2.6826          |
| 2.7022        | 3.0   | 744  | 2.6361          |
| 2.6436        | 4.0   | 992  | 2.6245          |
| 2.6195        | 5.0   | 1240 | 2.6247          |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1