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---
library_name: transformers
license: mit
base_model: openai-gpt
tags:
- generated_from_trainer
model-index:
- name: gpt_1_sequence_classification_finetune
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. -->
# gpt_1_sequence_classification_finetune
This model is a fine-tuned version of [openai-gpt](https://huggingface.co/openai-gpt) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3295
## 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: 5.38312346311055e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6661 | 1.0 | 12 | 1.4575 |
| 1.3696 | 2.0 | 24 | 1.0023 |
| 0.6977 | 3.0 | 36 | 0.5564 |
| 0.3751 | 4.0 | 48 | 0.4573 |
| 0.2528 | 5.0 | 60 | 0.3803 |
| 0.1503 | 6.0 | 72 | 0.2699 |
| 0.0863 | 7.0 | 84 | 0.2888 |
| 0.0547 | 8.0 | 96 | 0.3295 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0
- Datasets 3.4.0
- Tokenizers 0.21.1
|