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: 01_ToS-BART
+  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. -->
+
+# 01_ToS-BART
+
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3895
+- Rouge1: 0.6186
+- Rouge2: 0.4739
+- Rougel: 0.5159
+- Rougelsum: 0.5152
+- Gen Len: 108.6354
+
+## 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: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
+| No log        | 1.0   | 360  | 0.3310          | 0.5585 | 0.4013 | 0.4522 | 0.4522    | 116.1105 |
+| 0.2783        | 2.0   | 720  | 0.3606          | 0.5719 | 0.4078 | 0.4572 | 0.4568    | 114.6796 |
+| 0.2843        | 3.0   | 1080 | 0.3829          | 0.6019 | 0.4456 | 0.4872 | 0.4875    | 110.8066 |
+| 0.2843        | 4.0   | 1440 | 0.3599          | 0.6092 | 0.4604 | 0.5049 | 0.5049    | 110.884  |
+| 0.1491        | 5.0   | 1800 | 0.3895          | 0.6186 | 0.4739 | 0.5159 | 0.5152    | 108.6354 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
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+  "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": "4.35.2"
+}

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