End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+datasets:
+- xsum
+metrics:
+- rouge
+model-index:
+- name: xsum-t5-small
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: xsum
+      type: xsum
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 28.3309
+---
+
+<!-- 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. -->
+
+# xsum-t5-small
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4789
+- Rouge1: 28.3309
+- Rouge2: 7.7568
+- Rougel: 22.2948
+- Rougelsum: 22.2942
+- Gen Len: 18.824
+
+## 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: 1
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 2.9158        | 0.16  | 2000  | 2.5725          | 26.6629 | 6.6436 | 20.8032 | 20.7995   | 18.7886 |
+| 2.7868        | 0.31  | 4000  | 2.5286          | 27.3979 | 7.1077 | 21.4451 | 21.4487   | 18.8045 |
+| 2.756         | 0.47  | 6000  | 2.5058          | 27.8049 | 7.4383 | 21.8465 | 21.8479   | 18.8179 |
+| 2.7388        | 0.63  | 8000  | 2.4903          | 28.1541 | 7.6412 | 22.1566 | 22.1572   | 18.8265 |
+| 2.7208        | 0.78  | 10000 | 2.4819          | 28.2559 | 7.6877 | 22.2086 | 22.2118   | 18.8268 |
+| 2.7175        | 0.94  | 12000 | 2.4789          | 28.3309 | 7.7568 | 22.2948 | 22.2942   | 18.824  |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.33.3"
+}

pytorch_model.bin

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