transformers tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:gpt2 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: 50000usd
  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. -->

# 50000usd

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: 6.5760

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.8   | 1    | 6.9760          |
| No log        | 1.6   | 2    | 6.6552          |
| No log        | 2.4   | 3    | 6.5902          |
| No log        | 4.0   | 5    | 6.5775          |
| No log        | 4.8   | 6    | 6.5818          |
| No log        | 5.6   | 7    | 6.5848          |
| No log        | 6.4   | 8    | 6.5881          |
| 6.3782        | 8.0   | 10   | 6.5849          |
| 6.3782        | 8.8   | 11   | 6.5811          |
| 6.3782        | 9.6   | 12   | 6.5751          |
| 6.3782        | 10.4  | 13   | 6.5729          |
| 6.3782        | 12.0  | 15   | 6.5785          |
| 6.3782        | 12.8  | 16   | 6.5804          |
| 6.3782        | 13.6  | 17   | 6.5819          |
| 6.3782        | 14.4  | 18   | 6.5836          |
| 6.2143        | 16.0  | 20   | 6.5851          |
| 6.2143        | 16.8  | 21   | 6.5833          |
| 6.2143        | 17.6  | 22   | 6.5813          |
| 6.2143        | 18.4  | 23   | 6.5784          |
| 6.2143        | 20.0  | 25   | 6.5766          |
| 6.2143        | 20.8  | 26   | 6.5764          |
| 6.2143        | 21.6  | 27   | 6.5765          |
| 6.2143        | 22.4  | 28   | 6.5762          |
| 6.2074        | 24.0  | 30   | 6.5763          |
| 6.2074        | 24.8  | 31   | 6.5761          |
| 6.2074        | 25.6  | 32   | 6.5763          |
| 6.2074        | 26.4  | 33   | 6.5757          |
| 6.2074        | 28.0  | 35   | 6.5758          |
| 6.2074        | 28.8  | 36   | 6.5754          |
| 6.2074        | 29.6  | 37   | 6.5760          |
| 6.2074        | 30.4  | 38   | 6.5763          |
| 6.2047        | 32.0  | 40   | 6.5760          |
| 6.2047        | 32.8  | 41   | 6.5764          |
| 6.2047        | 33.6  | 42   | 6.5755          |
| 6.2047        | 34.4  | 43   | 6.5758          |
| 6.2047        | 36.0  | 45   | 6.5759          |
| 6.2047        | 36.8  | 46   | 6.5760          |
| 6.2047        | 37.6  | 47   | 6.5760          |
| 6.2047        | 38.4  | 48   | 6.5761          |
| 6.2026        | 40.0  | 50   | 6.5760          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
