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---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: gpt2-concat-switch-rarity-no-cut
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. -->
# gpt2-concat-switch-rarity-no-cut
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: 4.3032
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.7037 | 0.29 | 500 | 5.6319 |
| 5.3373 | 0.58 | 1000 | 5.2001 |
| 4.9919 | 0.87 | 1500 | 4.9536 |
| 4.7185 | 1.17 | 2000 | 4.8020 |
| 4.5556 | 1.46 | 2500 | 4.6811 |
| 4.4476 | 1.75 | 3000 | 4.5737 |
| 4.3298 | 2.04 | 3500 | 4.4863 |
| 4.1272 | 2.33 | 4000 | 4.4421 |
| 4.0996 | 2.62 | 4500 | 4.3853 |
| 4.0564 | 2.91 | 5000 | 4.3350 |
| 3.8676 | 3.21 | 5500 | 4.3248 |
| 3.8015 | 3.5 | 6000 | 4.2945 |
| 3.7787 | 3.79 | 6500 | 4.2610 |
| 3.6894 | 4.08 | 7000 | 4.2563 |
| 3.5111 | 4.37 | 7500 | 4.2530 |
| 3.5076 | 4.66 | 8000 | 4.2365 |
| 3.4984 | 4.95 | 8500 | 4.2243 |
| 3.341 | 5.24 | 9000 | 4.2363 |
| 3.3189 | 5.54 | 9500 | 4.2358 |
| 3.3196 | 5.83 | 10000 | 4.2346 |
### Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
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