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---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: gpt22gpt2-gpt2-medium-cnn-dailymail-seed42_std_paper
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. -->
# gpt22gpt2-gpt2-medium-cnn-dailymail-seed42_std_paper
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:------:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.8351 | 0.2229 | 2000 | 2.6756 | 0.2177 | 0.0446 | 0.1396 | 0.2009 |
| 2.6697 | 0.4458 | 4000 | 2.5354 | 0.2466 | 0.0595 | 0.1537 | 0.2261 |
| 2.5729 | 0.6687 | 6000 | 2.4532 | 0.2635 | 0.0672 | 0.1622 | 0.2443 |
| 2.5091 | 0.8916 | 8000 | 2.3906 | 0.2551 | 0.0657 | 0.1576 | 0.2333 |
| 0.0 | 1.1145 | 10000 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 1.3374 | 12000 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 1.5603 | 14000 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 1.7832 | 16000 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 2.0061 | 18000 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 2.2290 | 20000 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 2.4519 | 22000 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 2.6748 | 24000 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 2.8977 | 26000 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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