End of training

README.md

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+---
+license: apache-2.0
+base_model: google-t5/t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: abstractive_summarization
+  results: []
+---
+
+<!-- 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. -->
+
+# abstractive_summarization
+
+This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0699
+- Rouge1: 0.166
+- Rouge2: 0.1297
+- Rougel: 0.1594
+- Rougelsum: 0.1593
+- Gen Len: 18.9974
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.465         | 1.0   | 1658 | 2.1944          | 0.1613 | 0.1244 | 0.1538 | 0.1537    | 18.996  |
+| 2.3525        | 2.0   | 3316 | 2.1101          | 0.1646 | 0.128  | 0.1572 | 0.1571    | 18.9974 |
+| 2.2844        | 3.0   | 4974 | 2.0779          | 0.1655 | 0.1291 | 0.1587 | 0.1586    | 18.9965 |
+| 2.2874        | 4.0   | 6632 | 2.0699          | 0.166  | 0.1297 | 0.1594 | 0.1593    | 18.9974 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- 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": "4.41.2"
+}

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