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-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. -->
+
+# T5-small-summarization
+
+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: 1.9294
+- Rouge1: 0.3772
+- Rouge2: 0.1453
+- Rougel: 0.3105
+- Rougelsum: 0.3106
+- Gen Len: 16.1832
+
+## 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: 32
+- eval_batch_size: 32
+- 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   | 63   | 2.1165          | 0.338  | 0.1186 | 0.2811 | 0.2813    | 16.7595 |
+| No log        | 2.0   | 126  | 2.0210          | 0.3612 | 0.1338 | 0.2982 | 0.2985    | 16.5592 |
+| No log        | 3.0   | 189  | 1.9838          | 0.3652 | 0.1384 | 0.3034 | 0.304     | 16.1197 |
+| No log        | 4.0   | 252  | 1.9623          | 0.3715 | 0.142  | 0.3077 | 0.3079    | 16.2308 |
+| No log        | 5.0   | 315  | 1.9513          | 0.3727 | 0.1441 | 0.308  | 0.3084    | 16.1453 |
+| No log        | 6.0   | 378  | 1.9419          | 0.375  | 0.1438 | 0.309  | 0.3093    | 16.2234 |
+| No log        | 7.0   | 441  | 1.9376          | 0.3748 | 0.144  | 0.3102 | 0.3104    | 16.1465 |
+| 2.2452        | 8.0   | 504  | 1.9324          | 0.3754 | 0.1451 | 0.3098 | 0.3099    | 16.1893 |
+| 2.2452        | 9.0   | 567  | 1.9302          | 0.3769 | 0.1459 | 0.3112 | 0.3113    | 16.1966 |
+| 2.2452        | 10.0  | 630  | 1.9294          | 0.3772 | 0.1453 | 0.3105 | 0.3106    | 16.1832 |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.0"
+}

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runs/Feb18_16-21-46_6a6946c5f35f/events.out.tfevents.1708273308.6a6946c5f35f.109.0

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