Training complete

README.md

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+---
+license: mit
+base_model: facebook/bart-large-cnn
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bart-large-xsumfinetuned-samsum
+  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-xsumfinetuned-samsum
+
+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: 2.9976
+- Rouge1: 0.4246
+- Rouge2: 0.2069
+- Rougel: 0.3253
+- Rougelsum: 0.3907
+
+## 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: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 0.2858        | 1.0   | 3683  | 2.3127          | 0.4051 | 0.1926 | 0.3072 | 0.3720    |
+| 0.3128        | 2.0   | 7366  | 2.3467          | 0.4007 | 0.1911 | 0.3037 | 0.3687    |
+| 0.2544        | 3.0   | 11049 | 2.3126          | 0.4145 | 0.2019 | 0.3159 | 0.3801    |
+| 0.1846        | 4.0   | 14732 | 2.6484          | 0.4088 | 0.1977 | 0.3096 | 0.3774    |
+| 0.1143        | 5.0   | 18415 | 2.7793          | 0.4173 | 0.1997 | 0.3155 | 0.3843    |
+| 0.0687        | 6.0   | 22098 | 2.9976          | 0.4246 | 0.2069 | 0.3253 | 0.3907    |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

generation_config.json

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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": "4.40.1"
+}

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