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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: new_merge_mt5
+  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. -->
+
+# new_merge_mt5
+
+This model is a fine-tuned version of [thanathorn/mt5-cpe-kmutt-thai-sentence-sum](https://huggingface.co/thanathorn/mt5-cpe-kmutt-thai-sentence-sum) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 2.3352
+- eval_rouge1: 0.0868
+- eval_rouge2: 0.015
+- eval_rougeL: 0.0873
+- eval_rougeLsum: 0.0866
+- eval_gen_len: 18.9547
+- eval_runtime: 160.0435
+- eval_samples_per_second: 6.486
+- eval_steps_per_second: 1.625
+- epoch: 5.14
+- step: 2000
+
+## 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: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5000
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2