---
base_model: data-silence/any-news-sum3
tags:
- generated_from_trainer
model-index:
- name: any-news-sum
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# any-news-sum

This model is a fine-tuned version of [data-silence/any-news-sum3](https://huggingface.co/data-silence/any-news-sum3) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2748
- eval_title_rouge1: 0.1373
- eval_title_rouge2: 0.0489
- eval_title_rougeL: 0.1220
- eval_resume_rouge1: 0.0016
- eval_resume_rouge2: 0.0005
- eval_resume_rougeL: 0.0015
- eval_runtime: 3433.4702
- eval_samples_per_second: 9.37
- eval_steps_per_second: 1.562
- step: 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: 2e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 36
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1