End of training

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- samsum
+metrics:
+- rouge
+model-index:
+- name: switch-base-8-finetuned-samsum
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: samsum
+      type: samsum
+      config: samsum
+      split: train
+      args: samsum
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 46.5651
+---
+
+<!-- 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. -->
+
+# switch-base-8-finetuned-samsum
+
+This model is a fine-tuned version of [google/switch-base-8](https://huggingface.co/google/switch-base-8) on the samsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4606
+- Rouge1: 46.5651
+- Rouge2: 23.2378
+- Rougel: 39.4484
+- Rougelsum: 43.1011
+- Gen Len: 17.0183
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 1.8829        | 1.0   | 3683  | 1.5154          | 46.3805 | 23.0982 | 39.0612 | 43.0142   | 17.6296 |
+| 1.6207        | 2.0   | 7366  | 1.4578          | 47.7434 | 24.9471 | 40.6481 | 44.351    | 17.2066 |
+| 1.442         | 3.0   | 11049 | 1.4360          | 47.6903 | 24.9954 | 40.713  | 44.3487   | 17.0501 |
+| 1.3103        | 4.0   | 14732 | 1.4396          | 48.4517 | 25.7725 | 41.5212 | 45.1211   | 16.9071 |
+| 1.2393        | 5.0   | 18415 | 1.4445          | 48.4002 | 25.8727 | 41.5361 | 45.0467   | 16.9804 |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.8.0
+- Tokenizers 0.13.2

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