End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: T5_small_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_small_title
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4558
+- Rouge1: 0.316
+- Rouge2: 0.1498
+- Rougel: 0.2735
+- Rougelsum: 0.2728
+- Gen Len: 16.495
+
+## 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: 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 100  | 2.8637          | 0.2464 | 0.093  | 0.207  | 0.2066    | 18.87   |
+| No log        | 2.0   | 200  | 2.6086          | 0.2702 | 0.1142 | 0.2303 | 0.2299    | 18.475  |
+| No log        | 3.0   | 300  | 2.5391          | 0.2943 | 0.1373 | 0.2572 | 0.2565    | 17.44   |
+| No log        | 4.0   | 400  | 2.5082          | 0.2997 | 0.1421 | 0.2636 | 0.2629    | 17.02   |
+| 2.8756        | 5.0   | 500  | 2.4853          | 0.3111 | 0.145  | 0.271  | 0.2701    | 16.755  |
+| 2.8756        | 6.0   | 600  | 2.4729          | 0.3165 | 0.1501 | 0.2753 | 0.2745    | 16.555  |
+| 2.8756        | 7.0   | 700  | 2.4635          | 0.3215 | 0.1533 | 0.2771 | 0.2768    | 16.51   |
+| 2.8756        | 8.0   | 800  | 2.4601          | 0.3224 | 0.154  | 0.2773 | 0.2776    | 16.38   |
+| 2.8756        | 9.0   | 900  | 2.4569          | 0.3167 | 0.1505 | 0.274  | 0.2733    | 16.495  |
+| 2.5758        | 10.0  | 1000 | 2.4558          | 0.316  | 0.1498 | 0.2735 | 0.2728    | 16.495  |
+
+
+### 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_11-35-34_bb6847706ad5/events.out.tfevents.1708256135.bb6847706ad5.5068.0

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