---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: gpt22gpt2-gpt2-large-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-large-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 |
|:-------------:|:------:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.7391        | 0.2229 | 2000  | 2.5874          | 0.1589 | 0.0267 | 0.1130 | 0.1508    |
| 2.5412        | 0.4458 | 4000  | 2.4283          | 0.2669 | 0.0679 | 0.1606 | 0.2499    |
| 2.4358        | 0.6687 | 6000  | 2.3450          | 0.2731 | 0.0731 | 0.1638 | 0.2559    |
| 2.3592        | 0.8916 | 8000  | 2.2616          | 0.2960 | 0.0829 | 0.1729 | 0.2765    |
| 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