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---
license: mit
base_model: gpt2-xl
tags:
- generated_from_trainer
model-index:
- name: custom
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. -->
# custom
This model is a fine-tuned version of [gpt2-xl](https://huggingface.co./gpt2-xl) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3280
## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 48
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5844 | 0.68 | 200 | 1.4102 |
| 1.4081 | 1.37 | 400 | 1.3670 |
| 1.3422 | 2.05 | 600 | 1.3424 |
| 1.2711 | 2.73 | 800 | 1.3310 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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