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---
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: []
---
<!-- 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. -->
# 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
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