End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-vi-en
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: opus-mt-vi-en-finetuned-ba-to-en
+  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. -->
+
+# opus-mt-vi-en-finetuned-ba-to-en
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-vi-en](https://huggingface.co/Helsinki-NLP/opus-mt-vi-en) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.2493
+- Bleu: 1.4007
+- Gen Len: 27.077
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- training_steps: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:------:|:-----:|:---------------:|:------:|:-------:|
+| 3.1653        | 0.6949 | 1000  | 4.9691          | 0.7944 | 30.79   |
+| 2.4886        | 1.3899 | 2000  | 5.0994          | 0.7862 | 30.559  |
+| 2.221         | 2.0848 | 3000  | 5.0760          | 0.9988 | 32.024  |
+| 2.0122        | 2.7797 | 4000  | 5.0877          | 1.3559 | 27.206  |
+| 1.8811        | 3.4746 | 5000  | 5.0965          | 1.4113 | 26.728  |
+| 1.8032        | 4.1696 | 6000  | 5.1610          | 1.3288 | 27.417  |
+| 1.7216        | 4.8645 | 7000  | 5.1873          | 1.4813 | 26.219  |
+| 1.6624        | 5.5594 | 8000  | 5.2418          | 1.4683 | 26.898  |
+| 1.6302        | 6.2543 | 9000  | 5.2420          | 1.4171 | 26.812  |
+| 1.6003        | 6.9493 | 10000 | 5.2493          | 1.4007 | 27.077  |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.4.0
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "bad_words_ids": [
+    [
+      53738
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 53738,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 6,
+  "pad_token_id": 53738,
+  "renormalize_logits": true,
+  "transformers_version": "4.46.3"
+}