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---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: aochildes-rarity-2
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. -->
# aochildes-rarity-2
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: 4.1181
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.351 | 0.29 | 500 | 5.3358 |
| 5.0412 | 0.59 | 1000 | 4.9250 |
| 4.7138 | 0.88 | 1500 | 4.6868 |
| 4.4435 | 1.17 | 2000 | 4.5444 |
| 4.3073 | 1.47 | 2500 | 4.4317 |
| 4.205 | 1.76 | 3000 | 4.3274 |
| 4.0796 | 2.05 | 3500 | 4.2630 |
| 3.8987 | 2.35 | 4000 | 4.2145 |
| 3.8749 | 2.64 | 4500 | 4.1579 |
| 3.8421 | 2.93 | 5000 | 4.1113 |
| 3.6388 | 3.23 | 5500 | 4.1089 |
| 3.5906 | 3.52 | 6000 | 4.0804 |
| 3.5776 | 3.81 | 6500 | 4.0451 |
| 3.4712 | 4.11 | 7000 | 4.0519 |
| 3.3209 | 4.4 | 7500 | 4.0435 |
| 3.3179 | 4.69 | 8000 | 4.0297 |
| 3.3071 | 4.99 | 8500 | 4.0193 |
| 3.1447 | 5.28 | 9000 | 4.0337 |
| 3.1394 | 5.57 | 9500 | 4.0322 |
| 3.1343 | 5.87 | 10000 | 4.0318 |
### Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
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