---
library_name: transformers
license: apache-2.0
base_model: BEE-spoke-data/ModernBERT2gpt2-700m-cfg2
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ModernBERT2gpt2-700m-cfg2-t2t-re_pretrain-small-2048
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ModernBERT2gpt2-700m-cfg2-t2t-re_pretrain-small-2048

This model is a fine-tuned version of [BEE-spoke-data/ModernBERT2gpt2-700m-cfg2](https://huggingface.co/BEE-spoke-data/ModernBERT2gpt2-700m-cfg2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2095
- Rouge1: 50.3518
- Rouge2: 33.9831
- Rougel: 46.3741
- Rougelsum: 46.7798
- Gen Len: 30.6
- Num Input Tokens Seen: 515531508

## 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: 8e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 80085
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.PAGED_ADEMAMIX and the args are:
No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len | Input Tokens Seen |
|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-----------------:|
| 90.1752       | 0.0983 | 1000  | 5.6342          | 16.5561 | 3.2961  | 14.7126 | 14.7712   | 69.32   | 51291360          |
| 65.7669       | 0.1966 | 2000  | 4.0524          | 27.4318 | 11.4034 | 24.5864 | 24.8835   | 41.59   | 102933044         |
| 51.9327       | 0.2948 | 3000  | 3.2430          | 40.1723 | 21.3863 | 36.5277 | 36.8678   | 30.495  | 154351440         |
| 41.8728       | 0.3931 | 4000  | 2.8102          | 43.9268 | 26.793  | 40.1378 | 40.7026   | 30.17   | 205979564         |
| 41.7305       | 0.4914 | 5000  | 2.6100          | 44.4312 | 27.6447 | 40.525  | 40.7945   | 32.985  | 257628708         |
| 41.428        | 0.5897 | 6000  | 2.4841          | 44.7711 | 28.0903 | 40.7346 | 40.9658   | 35.03   | 309218384         |
| 36.5789       | 0.6879 | 7000  | 2.3844          | 44.8011 | 28.0367 | 40.8555 | 41.1516   | 30.805  | 360560352         |
| 36.1657       | 0.7862 | 8000  | 2.3185          | 46.647  | 29.8361 | 42.7361 | 43.0175   | 35.32   | 412353688         |
| 33.1455       | 0.8845 | 9000  | 2.2608          | 48.6856 | 32.331  | 44.6585 | 45.0587   | 36.3    | 463798308         |
| 36.9318       | 0.9828 | 10000 | 2.2095          | 50.3518 | 33.9831 | 46.3741 | 46.7798   | 30.6    | 515531508         |


### Framework versions

- Transformers 4.49.0.dev0
- Pytorch 2.4.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0