Model save

README.md

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+---
+license: apache-2.0
+base_model: Falconsai/text_summarization
+tags:
+- generated_from_trainer
+model-index:
+- name: vietnamese_t5_summary_model_falcon
+  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. -->
+
+# vietnamese_t5_summary_model_falcon
+
+This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.2138
+- eval_rouge1: 16.5727
+- eval_rouge2: 6.4685
+- eval_rougeL: 14.3558
+- eval_rougeLsum: 14.4703
+- eval_runtime: 168.1885
+- eval_samples_per_second: 29.729
+- eval_steps_per_second: 3.716
+- epoch: 7.0
+- step: 92246
+
+## 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
+- lr_scheduler_warmup_steps: 3000
+- num_epochs: 10
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

model.safetensors

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