End of training

README.md

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+---
+license: apache-2.0
+base_model: stevhliu/my_awesome_billsum_model
+tags:
+- generated_from_trainer
+datasets:
+- multi_news
+metrics:
+- rouge
+model-index:
+- name: my_awesome_multinews_model
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: multi_news
+      type: multi_news
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.1416
+---
+
+<!-- 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. -->
+
+# my_awesome_multinews_model
+
+This model is a fine-tuned version of [stevhliu/my_awesome_billsum_model](https://huggingface.co/stevhliu/my_awesome_billsum_model) on the multi_news dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8031
+- Rouge1: 0.1416
+- Rouge2: 0.0452
+- Rougel: 0.1098
+- Rougelsum: 0.1099
+- Gen Len: 19.0
+
+## 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: 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: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 282  | 2.8803          | 0.1378 | 0.0427 | 0.1067 | 0.1067    | 19.0    |
+| 3.1546        | 2.0   | 564  | 2.8260          | 0.1393 | 0.043  | 0.1077 | 0.1077    | 19.0    |
+| 3.1546        | 3.0   | 846  | 2.8089          | 0.1418 | 0.0452 | 0.1096 | 0.1096    | 19.0    |
+| 3.0357        | 4.0   | 1128 | 2.8031          | 0.1416 | 0.0452 | 0.1098 | 0.1099    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.0"
+}

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runs/Nov08_05-57-59_91e1f6dae56d/events.out.tfevents.1699423080.91e1f6dae56d.1226.2

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