End of training

README.md

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+---
+library_name: transformers
+base_model: google/pegasus-large
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: Fine-Tuned-billsum-Summarization
+  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. -->
+
+# Fine-Tuned-billsum-Summarization
+
+This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8618
+- Rouge1: 0.2169
+- Rouge2: 0.0916
+- Rougel: 0.1809
+- Rougelsum: 0.1799
+- Generated Length: 104.8158
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
+| No log        | 1.0   | 19   | 2.3003          | 0.2218 | 0.0946 | 0.1807 | 0.1792    | 106.5789         |
+| No log        | 2.0   | 38   | 1.9734          | 0.2164 | 0.0922 | 0.1799 | 0.1789    | 104.4474         |
+| No log        | 3.0   | 57   | 1.8618          | 0.2169 | 0.0916 | 0.1809 | 0.1799    | 104.8158         |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

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": 0.8,
+  "max_length": 256,
+  "num_beams": 8,
+  "pad_token_id": 0,
+  "transformers_version": "4.44.2"
+}

runs/Oct09_12-54-02_3b1d326743dc/events.out.tfevents.1728478443.3b1d326743dc.296.2

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