---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: bnc-cbt-log-rarity-mixed
  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. -->

# bnc-cbt-log-rarity-mixed

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0803

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.3678        | 0.29  | 500   | 5.3083          |
| 5.0506        | 0.58  | 1000  | 4.8988          |
| 4.727         | 0.87  | 1500  | 4.6664          |
| 4.4606        | 1.16  | 2000  | 4.5274          |
| 4.3096        | 1.45  | 2500  | 4.4089          |
| 4.213         | 1.75  | 3000  | 4.3013          |
| 4.0894        | 2.04  | 3500  | 4.2301          |
| 3.9068        | 2.33  | 4000  | 4.1861          |
| 3.8675        | 2.62  | 4500  | 4.1276          |
| 3.8433        | 2.91  | 5000  | 4.0819          |
| 3.6581        | 3.2   | 5500  | 4.0743          |
| 3.5934        | 3.49  | 6000  | 4.0511          |
| 3.5814        | 3.78  | 6500  | 4.0203          |
| 3.4978        | 4.07  | 7000  | 4.0150          |
| 3.326         | 4.36  | 7500  | 4.0140          |
| 3.3207        | 4.65  | 8000  | 4.0007          |
| 3.308         | 4.94  | 8500  | 3.9894          |
| 3.1751        | 5.24  | 9000  | 4.0029          |
| 3.144         | 5.53  | 9500  | 4.0021          |
| 3.1408        | 5.82  | 10000 | 4.0013          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3