End of training

README.md

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+---
+license: mit
+base_model: facebook/bart-large-xsum
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: text_shortening_model_v45
+  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. -->
+
+# text_shortening_model_v45
+
+This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 26.8982
+- Rouge1: 0.0
+- Rouge2: 0.0
+- Rougel: 0.0
+- Rougelsum: 0.0
+- Bert precision: 0.6649
+- Bert recall: 0.672
+- Average word count: 1.0
+- Max word count: 1
+- Min word count: 1
+- Average token count: 62.0
+- % shortened texts with length > 12: 0.0
+
+## 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: 0.0003
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bert precision | Bert recall | Average word count | Max word count | Min word count | Average token count | % shortened texts with length > 12 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------------:|:-----------:|:------------------:|:--------------:|:--------------:|:-------------------:|:----------------------------------:|
+| 3.3791        | 1.0   | 83   | 6.7318          | 0.0982 | 0.0    | 0.0972 | 0.0969    | 0.6855         | 0.6599      | 1.2937             | 2              | 1              | 16.7619             | 0.0                                |
+| 2.8727        | 2.0   | 166  | 10.3841         | 0.0    | 0.0    | 0.0    | 0.0       | 0.674          | 0.6911      | 3.0                | 3              | 3              | 62.0                | 0.0                                |
+| 2.7805        | 3.0   | 249  | 10.0261         | 0.0345 | 0.0    | 0.0346 | 0.0345    | 0.6746         | 0.6819      | 2.0                | 2              | 2              | 62.0                | 0.0                                |
+| 2.7183        | 4.0   | 332  | 9.5191          | 0.0    | 0.0    | 0.0    | 0.0       | 0.673          | 0.6736      | 1.0                | 1              | 1              | 62.0                | 0.0                                |
+| 2.7086        | 5.0   | 415  | 10.4466         | 0.0    | 0.0    | 0.0    | 0.0       | 0.6568         | 0.6648      | 1.0                | 1              | 1              | 62.0                | 0.0                                |
+| 2.6474        | 6.0   | 498  | 13.9665         | 0.0    | 0.0    | 0.0    | 0.0       | 0.6641         | 0.6709      | 1.0                | 1              | 1              | 62.0                | 0.0                                |
+| 2.63          | 7.0   | 581  | 13.3621         | 0.0    | 0.0    | 0.0    | 0.0       | 0.6457         | 0.6701      | 1.0                | 1              | 1              | 62.0                | 0.0                                |
+| 2.5998        | 8.0   | 664  | 13.0602         | 0.0    | 0.0    | 0.0    | 0.0       | 0.6618         | 0.6672      | 1.0                | 1              | 1              | 62.0                | 0.0                                |
+| 2.5689        | 9.0   | 747  | 15.0760         | 0.0    | 0.0    | 0.0    | 0.0       | 0.6591         | 0.6651      | 1.0                | 1              | 1              | 62.0                | 0.0                                |
+| 2.5508        | 10.0  | 830  | 15.6936         | 0.0    | 0.0    | 0.0    | 0.0       | 0.6649         | 0.6716      | 1.0                | 1              | 1              | 62.0                | 0.0                                |
+| 2.5298        | 11.0  | 913  | 16.8446         | 0.0    | 0.0    | 0.0    | 0.0       | 0.6604         | 0.6648      | 1.0                | 1              | 1              | 62.0                | 0.0                                |
+| 2.5091        | 12.0  | 996  | 21.0673         | 0.0    | 0.0    | 0.0    | 0.0       | 0.6721         | 0.6702      | 1.0                | 1              | 1              | 62.0                | 0.0                                |
+| 2.5019        | 13.0  | 1079 | 25.5628         | 0.0    | 0.0    | 0.0    | 0.0       | 0.6605         | 0.67        | 1.0                | 1              | 1              | 62.0                | 0.0                                |
+| 2.4826        | 14.0  | 1162 | 25.1203         | 0.0    | 0.0    | 0.0    | 0.0       | 0.6725         | 0.6666      | 1.0                | 1              | 1              | 62.0                | 0.0                                |
+| 2.4693        | 15.0  | 1245 | 26.8982         | 0.0    | 0.0    | 0.0    | 0.0       | 0.6649         | 0.672       | 1.0                | 1              | 1              | 62.0                | 0.0                                |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "max_length": 62,
+  "min_length": 11,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 6,
+  "pad_token_id": 1,
+  "transformers_version": "4.33.1"
+}

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