---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-emailgen-V2-emailgen_DS-multi-clean-100k_Ep-4_Bs-16
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilgpt2-emailgen-V2-emailgen_DS-multi-clean-100k_Ep-4_Bs-16

This model is a fine-tuned version of [postbot/distilgpt2-emailgen-V2](https://huggingface.co/postbot/distilgpt2-emailgen-V2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9126

## 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: 0.0006
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9045        | 1.0   | 789  | 2.0006          |
| 1.8115        | 2.0   | 1578 | 1.9557          |
| 1.8501        | 3.0   | 2367 | 1.9110          |
| 1.7376        | 4.0   | 3156 | 1.9126          |


### Framework versions

- Transformers 4.22.2
- Pytorch 1.10.0+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1