End of training

README.md

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+---
+license: mit
+base_model: VietAI/vit5-large
+tags:
+- generated_from_trainer
+model-index:
+- name: KLTN_COQE_viT5_PAOSL_v4
+  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. -->
+
+# KLTN_COQE_viT5_PAOSL_v4
+
+This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI/vit5-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0033
+
+## 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: 5e-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
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.2831        | 1.98  | 200  | 0.1297          |
+| 0.1433        | 3.96  | 400  | 0.0509          |
+| 0.0558        | 5.94  | 600  | 0.0209          |
+| 0.0259        | 7.92  | 800  | 0.0072          |
+| 0.0101        | 9.9   | 1000 | 0.0033          |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.14.1

generation_config.json

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+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.0"
+}

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