End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: lengocquangLAB/t5-small-tags-extraction
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-small-tags-extraction-800
+  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-tags-extraction-800
+
+This model is a fine-tuned version of [lengocquangLAB/t5-small-tags-extraction](https://huggingface.co/lengocquangLAB/t5-small-tags-extraction) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7353
+- Rouge1: 0.7928
+- Rouge2: 0.5843
+- Rougel: 0.5943
+- Rougelsum: 0.5942
+- Gen Len: 74.19
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 13   | 0.7246          | 0.7955 | 0.5892 | 0.5949 | 0.5948    | 74.21   |
+| No log        | 2.0   | 26   | 0.7353          | 0.7928 | 0.5843 | 0.5943 | 0.5942    | 74.19   |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.4.0
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.3"
+}