transformers tensorboard safetensors bart text2text-generation generated_from_trainer base_model:facebook/bart-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: fine-tuned-bart-2084-30-epochs
  results: []
---

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# fine-tuned-bart-2084-30-epochs

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8935
- Rouge1: 0.3436
- Rouge2: 0.1382
- Rougel: 0.3044
- Rougelsum: 0.3016
- Gen Len: 15.33

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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 301  | 0.7890          | 0.2453 | 0.0875 | 0.2145 | 0.2161    | 14.83   |
| 1.8096        | 2.0   | 602  | 0.7325          | 0.2259 | 0.0793 | 0.1953 | 0.1953    | 13.6    |
| 1.8096        | 3.0   | 903  | 0.7239          | 0.2872 | 0.0985 | 0.2567 | 0.2559    | 14.63   |
| 0.6874        | 4.0   | 1204 | 0.7236          | 0.3302 | 0.1232 | 0.2922 | 0.2916    | 13.89   |
| 0.5882        | 5.0   | 1505 | 0.7257          | 0.3129 | 0.1167 | 0.2778 | 0.2775    | 14.95   |
| 0.5882        | 6.0   | 1806 | 0.7218          | 0.3269 | 0.1251 | 0.2957 | 0.2946    | 15.14   |
| 0.4982        | 7.0   | 2107 | 0.7403          | 0.3029 | 0.1114 | 0.2708 | 0.27      | 14.94   |
| 0.4982        | 8.0   | 2408 | 0.7417          | 0.3113 | 0.12   | 0.2762 | 0.2756    | 14.17   |
| 0.4299        | 9.0   | 2709 | 0.7470          | 0.3164 | 0.1274 | 0.2853 | 0.283     | 14.42   |
| 0.3815        | 10.0  | 3010 | 0.7505          | 0.3294 | 0.134  | 0.2919 | 0.2902    | 15.29   |
| 0.3815        | 11.0  | 3311 | 0.7725          | 0.3288 | 0.1285 | 0.2904 | 0.2908    | 15.26   |
| 0.3421        | 12.0  | 3612 | 0.7864          | 0.3383 | 0.1298 | 0.3055 | 0.3043    | 15.0    |
| 0.3421        | 13.0  | 3913 | 0.7975          | 0.3225 | 0.1219 | 0.2864 | 0.2845    | 15.15   |
| 0.2989        | 14.0  | 4214 | 0.8120          | 0.3326 | 0.1344 | 0.2918 | 0.2907    | 15.17   |
| 0.2652        | 15.0  | 4515 | 0.8128          | 0.3226 | 0.1154 | 0.2942 | 0.2934    | 15.0    |
| 0.2652        | 16.0  | 4816 | 0.8265          | 0.3201 | 0.1154 | 0.2845 | 0.2833    | 15.29   |
| 0.2382        | 17.0  | 5117 | 0.8325          | 0.3251 | 0.1265 | 0.2929 | 0.2905    | 15.37   |
| 0.2382        | 18.0  | 5418 | 0.8375          | 0.3348 | 0.1218 | 0.3013 | 0.299     | 15.14   |
| 0.2149        | 19.0  | 5719 | 0.8543          | 0.3373 | 0.1278 | 0.2991 | 0.2969    | 15.19   |
| 0.1956        | 20.0  | 6020 | 0.8638          | 0.3386 | 0.139  | 0.304  | 0.302     | 15.24   |
| 0.1956        | 21.0  | 6321 | 0.8659          | 0.3244 | 0.1253 | 0.2868 | 0.2857    | 15.23   |
| 0.1821        | 22.0  | 6622 | 0.8754          | 0.3325 | 0.1258 | 0.2967 | 0.2956    | 15.46   |
| 0.1821        | 23.0  | 6923 | 0.8775          | 0.3389 | 0.1288 | 0.3075 | 0.3062    | 15.22   |
| 0.164         | 24.0  | 7224 | 0.8779          | 0.3488 | 0.1331 | 0.3116 | 0.3105    | 15.56   |
| 0.159         | 25.0  | 7525 | 0.8839          | 0.3455 | 0.1409 | 0.3065 | 0.3039    | 15.44   |
| 0.159         | 26.0  | 7826 | 0.8885          | 0.3399 | 0.1353 | 0.3049 | 0.3022    | 15.37   |
| 0.1458        | 27.0  | 8127 | 0.8869          | 0.331  | 0.1309 | 0.2922 | 0.2901    | 15.36   |
| 0.1458        | 28.0  | 8428 | 0.8918          | 0.3388 | 0.138  | 0.3062 | 0.3031    | 15.34   |
| 0.1442        | 29.0  | 8729 | 0.8925          | 0.3384 | 0.138  | 0.3033 | 0.3006    | 15.23   |
| 0.1369        | 30.0  | 9030 | 0.8935          | 0.3436 | 0.1382 | 0.3044 | 0.3016    | 15.33   |


### Framework versions

- Transformers 4.36.2
- Pytorch 1.12.1+cu113
- Datasets 2.15.0
- Tokenizers 0.15.0
