End of training

README.md

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+---
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-en-vi
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: my_fine_tuning_opus_mt_en_vi_model
+  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. -->
+
+# my_fine_tuning_opus_mt_en_vi_model
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-vi](https://huggingface.co/Helsinki-NLP/opus-mt-en-vi) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3240
+- Bleu: 36.0564
+- Gen Len: 28.405
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
+| 0.2395        | 1.0   | 16665  | 0.3059          | 36.5417 | 28.4965 |
+| 0.2182        | 2.0   | 33330  | 0.3079          | 36.2686 | 28.5296 |
+| 0.2072        | 3.0   | 49995  | 0.3105          | 36.4146 | 28.5099 |
+| 0.1906        | 4.0   | 66660  | 0.3131          | 36.3594 | 28.4397 |
+| 0.1803        | 5.0   | 83325  | 0.3153          | 36.2658 | 28.6052 |
+| 0.1738        | 6.0   | 99990  | 0.3182          | 35.9334 | 28.5311 |
+| 0.1701        | 7.0   | 116655 | 0.3200          | 36.1934 | 28.4358 |
+| 0.1634        | 8.0   | 133320 | 0.3216          | 35.9721 | 28.4358 |
+| 0.1605        | 9.0   | 149985 | 0.3233          | 36.2007 | 28.4618 |
+| 0.1545        | 10.0  | 166650 | 0.3240          | 36.0564 | 28.405  |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.17.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "bad_words_ids": [
+    [
+      53684
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 53684,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 53684,
+  "renormalize_logits": true,
+  "transformers_version": "4.37.2"
+}

model.safetensors

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runs/Feb17_23-31-01_nmtuet-serv/events.out.tfevents.1708187464.nmtuet-serv.1002700.0

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