End of training

README.md

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+---
+license: apache-2.0
+base_model: sshleifer/distilbart-cnn-12-6
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: distilbart-12-6-cnn-dm-abstractive-summarizer
+  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. -->
+
+# distilbart-12-6-cnn-dm-abstractive-summarizer
+
+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: 1.6988
+- Rouge1: 0.42
+- Rouge2: 0.2006
+- Rougel: 0.3032
+- Rougelsum: 0.3033
+- Generated Length: 72.6006
+
+## 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: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
+| 1.1498        | 1.0   | 1436 | 1.5556          | 0.4009 | 0.1815 | 0.2843 | 0.2843    | 72.1027          |
+| 1.1051        | 2.0   | 2872 | 1.5456          | 0.4127 | 0.191  | 0.2941 | 0.2942    | 71.2483          |
+| 0.892         | 3.0   | 4308 | 1.5954          | 0.4129 | 0.1924 | 0.2946 | 0.2947    | 72.453           |
+| 0.7543        | 4.0   | 5744 | 1.6574          | 0.4177 | 0.1974 | 0.3018 | 0.3017    | 71.8179          |
+| 0.651         | 5.0   | 7180 | 1.6988          | 0.42   | 0.2006 | 0.3032 | 0.3033    | 72.6006          |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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": "4.39.3"
+}

model.safetensors

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runs/May01_17-36-38_29e210d92d02/events.out.tfevents.1714584999.29e210d92d02.34.1

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