End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+datasets:
+- scientific_papers
+metrics:
+- rouge
+model-index:
+- name: my_awesome_arxiv_model
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: scientific_papers
+      type: scientific_papers
+      config: arxiv
+      split: test
+      args: arxiv
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.1783
+---
+
+<!-- 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_arxiv_model
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the scientific_papers dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5995
+- Rouge1: 0.1783
+- Rouge2: 0.0671
+- Rougel: 0.1433
+- Rougelsum: 0.1433
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.8985        | 1.0   | 1269 | 2.6663          | 0.1735 | 0.0651 | 0.1393 | 0.1393    | 19.0    |
+| 2.7954        | 2.0   | 2538 | 2.6231          | 0.1759 | 0.0675 | 0.1417 | 0.1417    | 19.0    |
+| 2.7799        | 3.0   | 3807 | 2.6054          | 0.1779 | 0.0674 | 0.1434 | 0.1435    | 19.0    |
+| 2.7715        | 4.0   | 5076 | 2.5995          | 0.1783 | 0.0671 | 0.1433 | 0.1433    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

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