---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_awesome_arith_model
  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. -->

# my_awesome_arith_model

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3147
- Rouge1: 0.9917
- Rouge2: 0.9123
- Rougel: 0.9594
- Rougelsum: 0.9593
- Gen Len: 8.9019

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 31   | 0.5797          | 0.977  | 0.7972 | 0.9038 | 0.9035    | 8.6517  |
| No log        | 2.0   | 62   | 0.6579          | 0.9792 | 0.8002 | 0.9055 | 0.9055    | 10.6333 |
| No log        | 3.0   | 93   | 0.4883          | 0.982  | 0.8346 | 0.9181 | 0.9182    | 8.7263  |
| No log        | 4.0   | 124  | 0.4298          | 0.9813 | 0.8255 | 0.9164 | 0.9163    | 8.8856  |
| No log        | 5.0   | 155  | 0.4968          | 0.9849 | 0.8408 | 0.9228 | 0.9225    | 10.5873 |
| No log        | 6.0   | 186  | 0.4186          | 0.9805 | 0.8441 | 0.9253 | 0.9253    | 10.1277 |
| No log        | 7.0   | 217  | 0.3675          | 0.9837 | 0.8633 | 0.9371 | 0.9373    | 9.2308  |
| No log        | 8.0   | 248  | 0.3372          | 0.9909 | 0.9004 | 0.955  | 0.9546    | 9.4566  |
| No log        | 9.0   | 279  | 0.3526          | 0.991  | 0.8999 | 0.953  | 0.9529    | 8.7896  |
| No log        | 10.0  | 310  | 0.3147          | 0.9917 | 0.9123 | 0.9594 | 0.9593    | 8.9019  |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.0+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1