End of training

README.md

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+---
+base_model: google/pegasus-cnn_dailymail
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- precision
+- recall
+- f1
+model-index:
+- name: PEGASUS_CNNDM_ORIGIN
+  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. -->
+
+# PEGASUS_CNNDM_ORIGIN
+
+This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7525
+- Rouge1: 0.3585
+- Rouge2: 0.1596
+- Rougel: 0.2651
+- Rougelsum: 0.2651
+- Gen Len: 57.9427
+- Precision: 0.8769
+- Recall: 0.8915
+- F1: 0.884
+
+## 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: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:---------:|:------:|:------:|
+| 1.0026        | 1.0   | 625  | 1.7480          | 0.3556 | 0.1565 | 0.2627 | 0.2629    | 57.9482 | 0.8764    | 0.8909 | 0.8835 |
+| 0.9045        | 2.0   | 1250 | 1.7525          | 0.3585 | 0.1596 | 0.2651 | 0.2651    | 57.9427 | 0.8769    | 0.8915 | 0.884  |
+
+
+### Framework versions
+
+- Transformers 4.36.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.15.0

generation_config.json

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+  "forced_eos_token_id": 1,
+  "length_penalty": 0.8,
+  "max_length": 128,
+  "min_length": 32,
+  "num_beams": 8,
+  "pad_token_id": 0,
+  "transformers_version": "4.36.0"
+}

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