Training complete

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: t5-large
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-large-billsum
+  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. -->
+
+# t5-large-billsum
+
+This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3660
+- Rouge1: 54.3212
+- Rouge2: 34.3078
+- Rougel: 43.7536
+- Rougelsum: 47.5193
+
+## 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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 1.6948        | 1.0   | 1250 | 1.4332          | 52.7319 | 33.508  | 42.6688 | 46.3992   |
+| 1.4965        | 2.0   | 2500 | 1.3864          | 53.6841 | 33.9189 | 43.3753 | 46.951    |
+| 1.4333        | 3.0   | 3750 | 1.3707          | 54.2166 | 34.2285 | 43.5537 | 47.2979   |
+| 1.4006        | 4.0   | 5000 | 1.3660          | 54.3212 | 34.3078 | 43.7536 | 47.5193   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.0.2
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.44.2"
+}

runs/Oct24_16-26-51_3591d68c4cd7/events.out.tfevents.1729795337.3591d68c4cd7.756.1

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