End of training

README.md

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+---
+license: mit
+base_model: facebook/bart-large-cnn
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bart-large-cnn-finetuned-laws_articles
+  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. -->
+
+# bart-large-cnn-finetuned-laws_articles
+
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1271
+- Rouge1: 36.7269
+- Rouge2: 16.9683
+- Rougel: 27.0421
+- Rougelsum: 28.4193
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| No log        | 1.0   | 86   | 2.0321          | 36.6897 | 16.3485 | 27.3189 | 27.9101   |
+| No log        | 1.99  | 172  | 1.9454          | 38.9231 | 18.8033 | 29.5893 | 30.6478   |
+| No log        | 3.0   | 259  | 1.9194          | 39.8043 | 19.5213 | 29.9679 | 31.526    |
+| No log        | 3.99  | 345  | 1.9581          | 38.7543 | 18.0651 | 28.0544 | 29.5525   |
+| No log        | 4.99  | 431  | 2.0134          | 36.5099 | 17.177  | 27.2934 | 28.4522   |
+| 1.5279        | 6.0   | 518  | 2.1271          | 36.7269 | 16.9683 | 27.0421 | 28.4193   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.7
+- Tokenizers 0.14.1

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_bos_token_id": 0,
+  "forced_eos_token_id": 2,
+  "length_penalty": 2.0,
+  "max_length": 142,
+  "min_length": 56,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.35.0"
+}

model.safetensors

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