End of training

README.md

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+---
+license: mit
+base_model: VietAI/vit5-large-vietnews-summarization
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mymodel_larger_vietnews_10k_2e5_3epoch_batchsize4
+  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. -->
+
+# mymodel_larger_vietnews_10k_2e5_3epoch_batchsize4
+
+This model is a fine-tuned version of [VietAI/vit5-large-vietnews-summarization](https://huggingface.co/VietAI/vit5-large-vietnews-summarization) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9223
+- Rouge1: 0.5899
+- Rouge2: 0.281
+- Rougel: 0.3815
+- Rougelsum: 0.3817
+- Gen Len: 40.2035
+
+## 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: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.8242        | 1.0   | 2000 | 1.7603          | 0.5792 | 0.2754 | 0.3786 | 0.3787    | 39.1905 |
+| 1.3026        | 2.0   | 4000 | 1.8069          | 0.5884 | 0.2827 | 0.3827 | 0.3828    | 38.768  |
+| 0.9538        | 3.0   | 6000 | 1.9223          | 0.5899 | 0.281  | 0.3815 | 0.3817    | 40.2035 |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "max_length": 256,
+  "pad_token_id": 0,
+  "transformers_version": "4.36.0.dev0"
+}

runs/Dec11_11-06-10_f7cb237773e8/events.out.tfevents.1702292771.f7cb237773e8.10934.0

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