---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-medium-emailgen_DS-multi-clean-100k_Ep-3_Bs-16
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gpt2-medium-emailgen_DS-multi-clean-100k_Ep-3_Bs-16

This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5840

## 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
- 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: 0.02
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8701        | 1.0   | 789  | 1.8378          |
| 1.5065        | 2.0   | 1578 | 1.6176          |
| 1.1873        | 3.0   | 2367 | 1.5840          |


### Framework versions

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