transformers pytorch gpt2 text-generation generated_from_trainer license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
tags:
- generated_from_trainer
model-index:
- name: dpt_2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# dpt_2

- Loss: 4.5960

## 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: 4e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- distributed_type: sagemaker_data_parallel
- num_devices: 8
- total_train_batch_size: 512
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 250
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.7672        | 1.55  | 500  | 5.7039          |
| 5.1184        | 3.11  | 1000 | 5.0316          |
| 4.9014        | 4.66  | 1500 | 4.7823          |
| 4.738         | 6.21  | 2000 | 4.6616          |
| 4.681         | 7.76  | 2500 | 4.6100          |
| 4.6872        | 9.32  | 3000 | 4.5960          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.13.3
