transformers tensorboard safetensors bart text2text-generation generated_from_trainer summarization base_model:sshleifer/distilbart-cnn-12-6 base_model:finetune:sshleifer/distilbart-cnn-12-6 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
base_model: sshleifer/distilbart-cnn-12-6
license: apache-2.0
metrics:
- rouge
pipeline_tag: summarization
tags:
- generated_from_trainer
model-index:
- name: distilbart-cnn-12-6-finetuned-stocknews_200
  results: []
---

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# distilbart-cnn-12-6-finetuned-stocknews_200

This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0370
- Rouge1: 79.8682
- Rouge2: 71.4205
- Rougel: 75.6301
- Rougelsum: 77.0085
- Gen Len: 74.1543

## 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: 80
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 169   | 0.5736          | 64.7045 | 47.6749 | 56.2681 | 59.2198   | 74.6113 |
| No log        | 2.0   | 338   | 0.4806          | 72.0942 | 58.8471 | 65.4706 | 67.8252   | 71.5163 |
| 0.4734        | 3.0   | 507   | 0.4991          | 73.967  | 62.7751 | 68.5945 | 70.6273   | 74.724  |
| 0.4734        | 4.0   | 676   | 0.4965          | 76.8393 | 66.9993 | 72.19   | 73.864    | 72.7003 |
| 0.4734        | 5.0   | 845   | 0.5139          | 78.0584 | 68.124  | 73.447  | 75.0284   | 73.9466 |
| 0.1158        | 6.0   | 1014  | 0.5328          | 78.409  | 68.5496 | 73.4175 | 75.0927   | 72.6914 |
| 0.1158        | 7.0   | 1183  | 0.5370          | 77.5134 | 67.8142 | 72.7732 | 74.5942   | 71.5727 |
| 0.1158        | 8.0   | 1352  | 0.5872          | 78.01   | 68.8818 | 73.7514 | 75.3546   | 73.4036 |
| 0.0631        | 9.0   | 1521  | 0.5787          | 78.8662 | 69.9291 | 74.7183 | 76.1309   | 73.365  |
| 0.0631        | 10.0  | 1690  | 0.5887          | 78.5145 | 69.2414 | 73.9729 | 75.4945   | 73.3947 |
| 0.0631        | 11.0  | 1859  | 0.5866          | 77.9579 | 68.5705 | 73.2277 | 75.2179   | 72.4807 |
| 0.0456        | 12.0  | 2028  | 0.6155          | 79.4247 | 70.3457 | 75.0464 | 76.723    | 71.6261 |
| 0.0456        | 13.0  | 2197  | 0.6270          | 78.2792 | 69.1958 | 74.171  | 75.7049   | 72.9347 |
| 0.0456        | 14.0  | 2366  | 0.6342          | 78.6039 | 69.2197 | 74.2082 | 75.7638   | 74.543  |
| 0.0364        | 15.0  | 2535  | 0.6282          | 78.7977 | 69.8903 | 74.5441 | 76.4053   | 72.8961 |
| 0.0364        | 16.0  | 2704  | 0.6456          | 78.4486 | 69.2633 | 74.0665 | 75.4348   | 72.2819 |
| 0.0364        | 17.0  | 2873  | 0.6583          | 79.1083 | 70.2974 | 75.0199 | 76.544    | 72.6469 |
| 0.0282        | 18.0  | 3042  | 0.6477          | 78.7872 | 69.9616 | 74.6811 | 76.0256   | 72.8279 |
| 0.0282        | 19.0  | 3211  | 0.6716          | 78.7369 | 69.889  | 74.4537 | 75.9916   | 73.4214 |
| 0.0282        | 20.0  | 3380  | 0.6729          | 79.3218 | 70.2074 | 75.162  | 76.5582   | 73.7003 |
| 0.0222        | 21.0  | 3549  | 0.7011          | 77.7228 | 68.6481 | 73.4411 | 74.9113   | 74.4748 |
| 0.0222        | 22.0  | 3718  | 0.6763          | 79.47   | 70.7597 | 75.2025 | 76.8042   | 72.73   |
| 0.0222        | 23.0  | 3887  | 0.7025          | 79.8675 | 70.9624 | 75.4989 | 77.0572   | 72.8427 |
| 0.0196        | 24.0  | 4056  | 0.6746          | 79.1486 | 70.4134 | 74.9573 | 76.4961   | 73.0208 |
| 0.0196        | 25.0  | 4225  | 0.6750          | 79.774  | 71.187  | 75.6008 | 77.2557   | 72.1098 |
| 0.0196        | 26.0  | 4394  | 0.6921          | 79.5747 | 70.894  | 75.2295 | 76.7905   | 72.9318 |
| 0.0176        | 27.0  | 4563  | 0.7611          | 79.0068 | 70.1336 | 74.3258 | 75.9459   | 74.3501 |
| 0.0176        | 28.0  | 4732  | 0.7093          | 79.5467 | 70.8754 | 75.4346 | 77.2047   | 72.3116 |
| 0.0176        | 29.0  | 4901  | 0.7168          | 79.5496 | 70.5612 | 75.0587 | 76.6486   | 74.0415 |
| 0.0154        | 30.0  | 5070  | 0.7032          | 79.7382 | 71.0288 | 75.9411 | 77.103    | 72.5282 |
| 0.0154        | 31.0  | 5239  | 0.7206          | 79.3973 | 70.7136 | 75.1744 | 76.5041   | 72.5757 |
| 0.0154        | 32.0  | 5408  | 0.7478          | 79.6311 | 70.74   | 75.1728 | 76.8626   | 73.1395 |
| 0.013         | 33.0  | 5577  | 0.7279          | 79.9423 | 71.2295 | 75.7646 | 77.2329   | 70.8872 |
| 0.013         | 34.0  | 5746  | 0.7685          | 78.8995 | 70.121  | 74.4843 | 76.028    | 72.9763 |
| 0.013         | 35.0  | 5915  | 0.7498          | 79.6454 | 70.8632 | 75.4972 | 76.8668   | 72.0297 |
| 0.0126        | 36.0  | 6084  | 0.8016          | 78.8582 | 70.0804 | 74.5498 | 76.0402   | 74.8338 |
| 0.0126        | 37.0  | 6253  | 0.7923          | 78.8845 | 70.1465 | 74.837  | 76.2453   | 74.0742 |
| 0.0126        | 38.0  | 6422  | 0.7813          | 78.7254 | 70.0885 | 74.6831 | 76.1384   | 73.5994 |
| 0.0103        | 39.0  | 6591  | 0.7974          | 79.5855 | 70.7472 | 75.5436 | 76.9493   | 72.6795 |
| 0.0103        | 40.0  | 6760  | 0.7967          | 79.656  | 70.7795 | 75.2844 | 76.6875   | 72.3294 |
| 0.0103        | 41.0  | 6929  | 0.8029          | 79.8831 | 71.1647 | 75.697  | 77.0773   | 71.8872 |
| 0.0086        | 42.0  | 7098  | 0.8245          | 78.999  | 70.1721 | 74.8494 | 76.2723   | 72.7478 |
| 0.0086        | 43.0  | 7267  | 0.8459          | 79.052  | 70.2714 | 75.0921 | 76.4209   | 74.3828 |
| 0.0086        | 44.0  | 7436  | 0.8077          | 79.6009 | 70.4859 | 75.0207 | 76.7271   | 72.5163 |
| 0.0078        | 45.0  | 7605  | 0.8431          | 79.093  | 70.433  | 75.0361 | 76.589    | 73.3145 |
| 0.0078        | 46.0  | 7774  | 0.8794          | 79.1461 | 70.3654 | 74.845  | 76.3544   | 75.0415 |
| 0.0078        | 47.0  | 7943  | 0.8668          | 79.1443 | 70.2647 | 74.7967 | 76.3801   | 71.724  |
| 0.0076        | 48.0  | 8112  | 0.8347          | 78.6997 | 70.1008 | 74.6051 | 76.0351   | 73.9763 |
| 0.0076        | 49.0  | 8281  | 0.8544          | 78.9749 | 69.9824 | 74.6559 | 76.0268   | 74.6528 |
| 0.0076        | 50.0  | 8450  | 0.9060          | 79.5051 | 70.5755 | 75.3817 | 77.0026   | 71.1217 |
| 0.0065        | 51.0  | 8619  | 0.9501          | 79.2498 | 70.5003 | 75.1244 | 76.5023   | 75.0    |
| 0.0065        | 52.0  | 8788  | 0.8724          | 79.5012 | 70.4217 | 75.109  | 76.6551   | 73.73   |
| 0.0065        | 53.0  | 8957  | 0.8860          | 79.5313 | 71.0337 | 75.3122 | 76.928    | 72.7685 |
| 0.0053        | 54.0  | 9126  | 0.8859          | 79.674  | 71.0878 | 75.4582 | 76.925    | 73.3294 |
| 0.0053        | 55.0  | 9295  | 0.8965          | 78.5857 | 69.8599 | 74.2323 | 75.6027   | 75.7359 |
| 0.0053        | 56.0  | 9464  | 0.9871          | 79.8361 | 71.2171 | 75.8197 | 77.1182   | 74.0861 |
| 0.0052        | 57.0  | 9633  | 0.8972          | 79.8939 | 71.3469 | 75.9245 | 77.1549   | 72.8398 |
| 0.0052        | 58.0  | 9802  | 0.9693          | 79.5523 | 70.8739 | 75.2116 | 76.7137   | 74.3412 |
| 0.0052        | 59.0  | 9971  | 0.9605          | 79.483  | 70.6684 | 75.0183 | 76.3226   | 75.2522 |
| 0.0047        | 60.0  | 10140 | 0.9705          | 79.4894 | 70.6424 | 75.0833 | 76.504    | 74.8694 |
| 0.0047        | 61.0  | 10309 | 0.9730          | 79.4781 | 70.9014 | 75.4589 | 76.6387   | 75.0504 |
| 0.0047        | 62.0  | 10478 | 0.9284          | 79.485  | 70.6651 | 75.1062 | 76.4092   | 74.0148 |
| 0.0045        | 63.0  | 10647 | 0.9537          | 79.2664 | 70.4345 | 74.9998 | 76.4565   | 73.9199 |
| 0.0045        | 64.0  | 10816 | 0.9554          | 79.6061 | 70.8702 | 75.3191 | 76.6242   | 74.3145 |
| 0.0045        | 65.0  | 10985 | 1.0090          | 79.6107 | 70.9297 | 75.4102 | 76.9842   | 73.9466 |
| 0.0041        | 66.0  | 11154 | 0.9736          | 79.6246 | 70.8827 | 75.2682 | 76.7209   | 74.8131 |
| 0.0041        | 67.0  | 11323 | 0.9498          | 79.9549 | 71.3231 | 75.7987 | 77.2809   | 73.5371 |
| 0.0041        | 68.0  | 11492 | 0.9965          | 80.1403 | 71.4991 | 76.017  | 77.3741   | 74.2404 |
| 0.004         | 69.0  | 11661 | 1.0012          | 79.8784 | 71.444  | 75.827  | 77.1888   | 74.0059 |
| 0.004         | 70.0  | 11830 | 0.9888          | 80.1075 | 71.7102 | 75.9687 | 77.3636   | 72.9911 |
| 0.004         | 71.0  | 11999 | 0.9758          | 79.7998 | 71.3682 | 75.6694 | 77.0498   | 73.8991 |
| 0.0043        | 72.0  | 12168 | 0.9760          | 79.9748 | 71.4703 | 75.8148 | 77.1338   | 72.8843 |
| 0.0043        | 73.0  | 12337 | 0.9930          | 80.1032 | 71.6551 | 75.8235 | 77.1674   | 73.6499 |
| 0.0037        | 74.0  | 12506 | 1.0006          | 80.0302 | 71.5324 | 75.7755 | 77.2182   | 73.3027 |
| 0.0037        | 75.0  | 12675 | 0.9958          | 79.9088 | 71.313  | 75.7842 | 77.1939   | 73.362  |
| 0.0037        | 76.0  | 12844 | 0.9993          | 80.3059 | 71.7887 | 76.0696 | 77.5045   | 73.3086 |
| 0.0039        | 77.0  | 13013 | 1.0224          | 79.5564 | 71.1191 | 75.4324 | 76.7285   | 74.2344 |
| 0.0039        | 78.0  | 13182 | 1.0510          | 80.0006 | 71.4199 | 75.6626 | 77.006    | 74.0119 |
| 0.0039        | 79.0  | 13351 | 1.0410          | 79.7101 | 71.2137 | 75.5206 | 76.8997   | 74.4303 |
| 0.0036        | 80.0  | 13520 | 1.0370          | 79.8682 | 71.4205 | 75.6301 | 77.0085   | 74.1543 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2