ORAOFROZENPOS0 / README.md
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---
base_model: jerteh/gpt2-orao
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ORAOFROZENPOS0
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. -->
# ORAOFROZENPOS0
This model is a fine-tuned version of [jerteh/gpt2-orao](https://huggingface.co/jerteh/gpt2-orao) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0789
- F1: 0.0
## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:-----:|:---------------:|:---:|
| 0.0771 | 1.0 | 2666 | 0.0798 | 0.0 |
| 0.0769 | 2.0 | 5332 | 0.0802 | 0.0 |
| 0.0437 | 3.0 | 7998 | 0.0790 | 0.0 |
| 0.0875 | 4.0 | 10665 | 0.0798 | 0.0 |
| 0.0531 | 5.0 | 13331 | 0.0789 | 0.0 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.2.0.dev20230928
- Datasets 2.14.2
- Tokenizers 0.13.3