End of training

README.md

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+---
+base_model: google/pegasus-xsum
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: sumarize_model_pegasus_v1
+  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. -->
+
+# sumarize_model_pegasus_v1
+
+This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3379
+- Rouge1: 0.6034
+- Rouge2: 0.4459
+- Rougel: 0.5685
+- Rougelsum: 0.5681
+- Gen Len: 32.8647
+
+## 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: 3.419313942464226e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 239  | 1.4418          | 0.6747 | 0.5033 | 0.6338 | 0.6335    | 43.9549 |
+| No log        | 2.0   | 478  | 1.3434          | 0.6869 | 0.5148 | 0.646  | 0.6459    | 44.938  |
+| 1.8531        | 3.0   | 717  | 1.2791          | 0.6843 | 0.5141 | 0.6451 | 0.645     | 44.7556 |
+| 1.8531        | 4.0   | 956  | 1.2358          | 0.6868 | 0.5168 | 0.6473 | 0.647     | 44.4305 |
+| 1.4419        | 5.0   | 1195 | 1.2654          | 0.6858 | 0.5172 | 0.6467 | 0.6464    | 43.7857 |
+| 1.4419        | 6.0   | 1434 | 1.2838          | 0.6686 | 0.4999 | 0.6291 | 0.6288    | 39.9549 |
+| 1.4368        | 7.0   | 1673 | 1.3379          | 0.6034 | 0.4459 | 0.5685 | 0.5681    | 32.8647 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "forced_eos_token_id": 1,
+  "length_penalty": 0.6,
+  "max_length": 64,
+  "num_beams": 8,
+  "pad_token_id": 0,
+  "transformers_version": "4.38.2"
+}

model.safetensors

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