---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: gpt-neo-1pt3B-emailgen_DS-multi-clean-100k_Ep-2_Bs-4
  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. -->

# gpt-neo-1pt3B-emailgen_DS-multi-clean-100k_Ep-2_Bs-4

This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6930

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 32
- 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8669        | 1.0   | 789  | 1.7866          |
| 1.4049        | 2.0   | 1578 | 1.6930          |


### Framework versions

- Transformers 4.22.2
- Pytorch 1.10.0+cu113
- Tokenizers 0.12.1