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---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: xsum-gpt2-long-pegasus
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. -->
# xsum-gpt2-long-pegasus
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2524
- Ppl: 26.6834
## 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: 2
- eval_batch_size: 2
- seed: 22554
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2000
- num_epochs: 15
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Ppl |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 3.7921 | 2.67 | 4000 | 3.6382 | 39.1940 |
| 3.4486 | 5.34 | 8000 | 3.4164 | 31.3953 |
| 3.299 | 8.01 | 12000 | 3.3291 | 28.7823 |
| 3.2019 | 10.68 | 16000 | 3.2769 | 27.3369 |
| 3.1403 | 13.36 | 20000 | 3.2524 | 26.6834 |
### Framework versions
- Transformers 4.35.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1
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