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---
tags:
- generated_from_trainer
model-index:
- name: bert2bert-cnn_dailymail-fp16-finetuned-1.0.0
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. -->
# bert2bert-cnn_dailymail-fp16-finetuned-1.0.0
This model is a fine-tuned version of [patrickvonplaten/bert2bert-cnn_dailymail-fp16](https://huggingface.co/patrickvonplaten/bert2bert-cnn_dailymail-fp16) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.4478
- eval_rouge1: 45.3108
- eval_rouge2: 18.3254
- eval_rougeL: 29.71
- eval_rougeLsum: 41.2888
- eval_runtime: 15495.5669
- eval_samples_per_second: 0.038
- eval_steps_per_second: 0.009
- epoch: 1.0
- step: 586
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.0
- Tokenizers 0.13.2
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