transformers pytorch tensorboard 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: mystv0_abb
  results: []
---

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# mystv0_abb

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6883

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3146        | 5.12  | 1000 | 1.5020          |
| 1.0106        | 10.24 | 2000 | 1.5553          |
| 0.9965        | 15.36 | 3000 | 1.5045          |
| 0.9931        | 20.47 | 4000 | 1.5800          |
| 0.9909        | 25.59 | 5000 | 1.4855          |
| 0.9881        | 30.71 | 6000 | 1.5844          |
| 0.9851        | 35.83 | 7000 | 1.7043          |
| 0.9813        | 40.95 | 8000 | 1.6826          |
| 0.9778        | 46.07 | 9000 | 1.6883          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.1.0+cu121
- Datasets 2.13.1
- Tokenizers 0.13.3
