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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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