---
license: mit
base_model: facebook/mbart-large-50
tags:
- summarization
- generated_from_trainer
model-index:
- name: mbart-large-50-finetuned-latest2
  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. -->

# mbart-large-50-finetuned-latest2

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7745

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 183  | 2.7751          |
| No log        | 2.0   | 367  | 2.7959          |
| No log        | 3.0   | 550  | 2.4704          |
| No log        | 4.0   | 734  | 2.4475          |
| No log        | 5.0   | 917  | 2.4498          |
| No log        | 6.0   | 1101 | 2.4558          |
| No log        | 6.99  | 1284 | 2.4719          |
| No log        | 7.98  | 1464 | 2.7745          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2