Training complete

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: t5-small
+tags:
+- summarization
+- generated_from_trainer
+datasets:
+- multi_news
+metrics:
+- rouge
+model-index:
+- name: t5-small-Abstractive-Summarizer
+  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: 15.0486
+---
+
+<!-- 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-small-Abstractive-Summarizer
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the multi_news dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8162
+- Rouge1: 15.0486
+- Rouge2: 5.1197
+- Rougel: 12.0288
+- Rougelsum: 13.4434
+
+## 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: 0.00056
+- 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 2.7895        | 1.0   | 113  | 2.7479          | 15.6051 | 5.1347 | 12.2224 | 13.8875   |
+| 2.6034        | 2.0   | 226  | 2.7745          | 15.2054 | 4.7334 | 11.7555 | 13.436    |
+| 2.4515        | 3.0   | 339  | 2.7820          | 15.008  | 4.6612 | 11.5993 | 13.3788   |
+| 2.3439        | 4.0   | 452  | 2.8056          | 15.2475 | 4.9304 | 11.8552 | 13.4615   |
+| 2.2803        | 5.0   | 565  | 2.8162          | 15.0486 | 5.1197 | 12.0288 | 13.4434   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- 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"
+}

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