End of training

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- generated_from_trainer
+datasets:
+- kde4
+metrics:
+- rouge
+- sacrebleu
+model-index:
+- name: mt5_small_kde4_en_ko
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: kde4
+      type: kde4
+      config: en-ko
+      split: train
+      args: en-ko
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.0832
+    - name: Sacrebleu
+      type: sacrebleu
+      value: 3.3559
+---
+
+<!-- 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. -->
+
+# mt5_small_kde4_en_ko
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the kde4 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.1644
+- Rouge1: 0.0832
+- Rouge2: 0.0195
+- Rougel: 0.0826
+- Sacrebleu: 3.3559
+
+## 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: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 15.8735       | 0.46  | 500  | 6.5322          | 0.0101 | 0.0004 | 0.0102 | 0.464     |
+| 7.183         | 0.93  | 1000 | 4.2298          | 0.0203 | 0.0012 | 0.02   | 0.6102    |
+| 5.4447        | 1.39  | 1500 | 3.5600          | 0.0399 | 0.005  | 0.0396 | 1.5798    |
+| 4.8372        | 1.85  | 2000 | 3.3343          | 0.0537 | 0.0088 | 0.0533 | 3.0115    |
+| 4.5579        | 2.32  | 2500 | 3.2131          | 0.0732 | 0.016  | 0.0729 | 3.3743    |
+| 4.4532        | 2.78  | 3000 | 3.1644          | 0.0832 | 0.0195 | 0.0826 | 3.3559    |
+
+
+### Framework versions
+
+- Transformers 4.32.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.32.0"
+}