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---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: bnc_spoken-cbt-notm-log-rarity-seed
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_spoken-cbt-notm-log-rarity-seed
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: 4.1404
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.3631 | 0.29 | 500 | 5.3434 |
| 5.0481 | 0.59 | 1000 | 4.9361 |
| 4.7177 | 0.88 | 1500 | 4.7045 |
| 4.4593 | 1.17 | 2000 | 4.5683 |
| 4.3118 | 1.46 | 2500 | 4.4484 |
| 4.2082 | 1.76 | 3000 | 4.3453 |
| 4.0886 | 2.05 | 3500 | 4.2725 |
| 3.9027 | 2.34 | 4000 | 4.2271 |
| 3.8826 | 2.63 | 4500 | 4.1747 |
| 3.8396 | 2.93 | 5000 | 4.1241 |
| 3.645 | 3.22 | 5500 | 4.1184 |
| 3.5953 | 3.51 | 6000 | 4.0930 |
| 3.5812 | 3.81 | 6500 | 4.0604 |
| 3.4807 | 4.1 | 7000 | 4.0629 |
| 3.3286 | 4.39 | 7500 | 4.0557 |
| 3.325 | 4.68 | 8000 | 4.0463 |
| 3.3134 | 4.98 | 8500 | 4.0327 |
| 3.1583 | 5.27 | 9000 | 4.0488 |
| 3.1455 | 5.56 | 9500 | 4.0474 |
| 3.1459 | 5.85 | 10000 | 4.0466 |
### Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
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