---
base_model: facebook/mbart-large-cc25
tags:
- generated_from_trainer
model-index:
- name: mBart-large_nwp_finetuning_test3
  results: []
---

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# mBart-large_nwp_finetuning_test3

This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0028
- eval_runtime: 2.4878
- eval_samples_per_second: 209.418
- eval_steps_per_second: 26.529
- epoch: 5.0
- step: 2980

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3