End of training

README.md

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+---
+license: mit
+base_model: VietAI/vit5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mymodel_base_60k_normal
+  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_base_60k_normal
+
+This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7929
+- Rouge1: 0.4579
+- Rouge2: 0.2234
+- Rougel: 0.3299
+- Rougelsum: 0.3298
+- Gen Len: 18.9966
+
+## 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.0728        | 1.0   | 3125 | 1.9253          | 0.4466 | 0.2094 | 0.3195 | 0.3195    | 18.9946 |
+| 1.7118        | 2.0   | 6250 | 1.8045          | 0.4536 | 0.2165 | 0.3247 | 0.3246    | 18.9975 |
+| 1.3719        | 3.0   | 9375 | 1.7929          | 0.4579 | 0.2234 | 0.3299 | 0.3298    | 18.9966 |
+
+
+### 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,
+  "pad_token_id": 0,
+  "transformers_version": "4.36.0.dev0"
+}

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