Model save

README.md

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+---
+license: apache-2.0
+base_model: KETI-AIR/ke-t5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- sacrebleu
+model-index:
+- name: ke-t5
+  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. -->
+
+# ke-t5
+
+This model is a fine-tuned version of [KETI-AIR/ke-t5-base](https://huggingface.co/KETI-AIR/ke-t5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 11.9691
+- Rouge1: 0.0002
+- Rouge2: 0.0
+- Rougel: 0.0002
+- Sacrebleu: 0.0076
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Sacrebleu |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 23.1815       | 2.7   | 500  | 11.9691         | 0.0002 | 0.0    | 0.0002 | 0.0076    |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu118
+- Datasets 3.0.2
+- Tokenizers 0.13.2

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.32.1"
+}