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: my_summarization_model
+  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. -->
+
+# my_summarization_model
+
+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: 2.1956
+- Rouge1: 0.2007
+- Rouge2: 0.1006
+- Rougel: 0.1699
+- Rougelsum: 0.1695
+- 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 62   | 2.3847          | 0.1952 | 0.0958 | 0.1639 | 0.1635    | 19.0    |
+| No log        | 2.0   | 124  | 2.3171          | 0.1997 | 0.0994 | 0.1688 | 0.1685    | 19.0    |
+| No log        | 3.0   | 186  | 2.2786          | 0.1985 | 0.0992 | 0.1688 | 0.1685    | 19.0    |
+| No log        | 4.0   | 248  | 2.2493          | 0.2004 | 0.1005 | 0.1695 | 0.1693    | 19.0    |
+| No log        | 5.0   | 310  | 2.2326          | 0.1995 | 0.1018 | 0.1703 | 0.17      | 19.0    |
+| No log        | 6.0   | 372  | 2.2189          | 0.1994 | 0.1001 | 0.1692 | 0.1688    | 19.0    |
+| No log        | 7.0   | 434  | 2.2074          | 0.1999 | 0.1009 | 0.1692 | 0.1689    | 19.0    |
+| No log        | 8.0   | 496  | 2.2018          | 0.1995 | 0.1003 | 0.1689 | 0.1685    | 19.0    |
+| 2.4776        | 9.0   | 558  | 2.1969          | 0.2007 | 0.1003 | 0.1696 | 0.1693    | 19.0    |
+| 2.4776        | 10.0  | 620  | 2.1956          | 0.2007 | 0.1006 | 0.1699 | 0.1695    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- 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": "4.42.4"
+}

runs/Aug30_05-13-33_e07d60ad98dc/events.out.tfevents.1724994814.e07d60ad98dc.507.1

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