End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: T5_base_title
+  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. -->
+
+# T5_base_title
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0487
+- Rouge1: 0.3848
+- Rouge2: 0.1901
+- Rougel: 0.3297
+- Rougelsum: 0.3288
+- Gen Len: 16.795
+
+## 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
+- 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   | 200  | 2.0966          | 0.3525 | 0.165  | 0.2921 | 0.2934    | 17.4    |
+| No log        | 2.0   | 400  | 2.0533          | 0.3706 | 0.1775 | 0.3145 | 0.3147    | 16.52   |
+| 2.2032        | 3.0   | 600  | 2.0453          | 0.3754 | 0.1867 | 0.3226 | 0.3227    | 16.68   |
+| 2.2032        | 4.0   | 800  | 2.0383          | 0.379  | 0.1887 | 0.3246 | 0.3243    | 16.36   |
+| 1.8535        | 5.0   | 1000 | 2.0376          | 0.3849 | 0.1881 | 0.3269 | 0.3267    | 16.755  |
+| 1.8535        | 6.0   | 1200 | 2.0416          | 0.378  | 0.1792 | 0.3236 | 0.3228    | 16.84   |
+| 1.8535        | 7.0   | 1400 | 2.0445          | 0.3805 | 0.1848 | 0.3249 | 0.3248    | 16.65   |
+| 1.692         | 8.0   | 1600 | 2.0484          | 0.3876 | 0.187  | 0.3289 | 0.3285    | 16.845  |
+| 1.692         | 9.0   | 1800 | 2.0473          | 0.3891 | 0.1912 | 0.3325 | 0.332     | 16.815  |
+| 1.6276        | 10.0  | 2000 | 2.0487          | 0.3848 | 0.1901 | 0.3297 | 0.3288    | 16.795  |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.2"
+}

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runs/Feb18_11-58-36_bb6847706ad5/events.out.tfevents.1708257517.bb6847706ad5.11676.0

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