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---
license: mit
base_model: Toflamus/GPT-2_para3M
tags:
- generated_from_trainer
model-index:
- name: Output
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. -->
# Output
This model is a fine-tuned version of [Toflamus/GPT-2_para3M](https://huggingface.co/Toflamus/GPT-2_para3M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9785
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 7.6797 | 0.27 | 100 | 7.0355 |
| 6.9842 | 0.55 | 200 | 6.6754 |
| 6.7517 | 0.82 | 300 | 6.5074 |
| 6.6145 | 1.09 | 400 | 6.3942 |
| 6.5294 | 1.37 | 500 | 6.3043 |
| 6.4228 | 1.64 | 600 | 6.2332 |
| 6.3582 | 1.91 | 700 | 6.1772 |
| 6.3 | 2.19 | 800 | 6.1279 |
| 6.2841 | 2.46 | 900 | 6.0878 |
| 6.2103 | 2.73 | 1000 | 6.0572 |
| 6.1908 | 3.01 | 1100 | 6.0325 |
| 6.1733 | 3.28 | 1200 | 6.0132 |
| 6.1383 | 3.55 | 1300 | 5.9991 |
| 6.149 | 3.83 | 1400 | 5.9901 |
| 6.1383 | 4.1 | 1500 | 5.9836 |
| 6.1155 | 4.37 | 1600 | 5.9800 |
| 6.1275 | 4.65 | 1700 | 5.9788 |
| 6.1257 | 4.92 | 1800 | 5.9785 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.2
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