End of training

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- generated_from_trainer
+datasets:
+- wmt16
+metrics:
+- rouge
+- sacrebleu
+model-index:
+- name: mt5_small_wmt16_de_en
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: wmt16
+      type: wmt16
+      config: de-en
+      split: validation
+      args: de-en
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.3666
+    - name: Sacrebleu
+      type: sacrebleu
+      value: 6.4622
+---
+
+<!-- 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_wmt16_de_en
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the wmt16 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4612
+- Rouge1: 0.3666
+- Rouge2: 0.147
+- Rougel: 0.3362
+- Sacrebleu: 6.4622
+
+## 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: 0.0005
+- 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Sacrebleu |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 3.3059        | 1.6   | 500  | 2.5597          | 0.3398 | 0.1261 | 0.3068 | 5.5524    |
+| 2.4093        | 3.2   | 1000 | 2.4996          | 0.3609 | 0.144  | 0.3304 | 6.2002    |
+| 2.2322        | 4.8   | 1500 | 2.4612          | 0.3666 | 0.147  | 0.3362 | 6.4622    |
+
+
+### 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"
+}