End of training

.gitattributes

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README.md

@@ -0,0 +1,77 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-en-vi
+tags:
+- translation
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: tatoeba-tok-vi
+  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. -->
+
+# tatoeba-tok-vi
+
+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: 1.2337
+- Bleu: 32.9189
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 1.9788        | 1.0   | 1191  | 1.6551          | 18.4711 |
+| 1.6066        | 2.0   | 2382  | 1.4615          | 24.9797 |
+| 1.4034        | 3.0   | 3573  | 1.3781          | 26.7147 |
+| 1.3087        | 4.0   | 4764  | 1.3322          | 27.4573 |
+| 1.2218        | 5.0   | 5955  | 1.3020          | 29.1743 |
+| 1.1568        | 6.0   | 7146  | 1.2793          | 28.2774 |
+| 1.1035        | 7.0   | 8337  | 1.2636          | 31.2109 |
+| 1.063         | 8.0   | 9528  | 1.2550          | 30.7525 |
+| 1.0256        | 9.0   | 10719 | 1.2469          | 30.7120 |
+| 0.9959        | 10.0  | 11910 | 1.2419          | 29.4254 |
+| 0.9713        | 11.0  | 13101 | 1.2373          | 30.3445 |
+| 0.9493        | 12.0  | 14292 | 1.2365          | 32.5770 |
+| 0.9357        | 13.0  | 15483 | 1.2345          | 32.5287 |
+| 0.9241        | 14.0  | 16674 | 1.2342          | 32.8780 |
+| 0.9189        | 15.0  | 17865 | 1.2337          | 32.9116 |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.7.1+cu128
+- Datasets 3.6.0
+- Tokenizers 0.21.1

config.json

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+  "activation_function": "swish",
+  "add_bias_logits": false,
+  "add_final_layer_norm": false,
+  "architectures": [
+    "MarianMTModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classif_dropout": 0.0,
+  "classifier_dropout": 0.0,
+  "d_model": 512,
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 2048,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 53684,
+  "decoder_vocab_size": 53685,
+  "dropout": 0.1,
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 2048,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 0,
+  "extra_pos_embeddings": 53685,
+  "forced_eos_token_id": 0,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
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+    "LABEL_1": 1,
+    "LABEL_2": 2
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+  "max_position_embeddings": 512,
+  "model_type": "marian",
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+  "normalize_embedding": false,
+  "num_beams": null,
+  "num_hidden_layers": 6,
+  "pad_token_id": 53684,
+  "scale_embedding": true,
+  "share_encoder_decoder_embeddings": true,
+  "static_position_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.52.4",
+  "use_cache": true,
+  "vocab_size": 53685
+}

generation_config.json

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+  "num_beams": 4,
+  "pad_token_id": 53684,
+  "renormalize_logits": true,
+  "transformers_version": "4.52.4"
+}

model.safetensors

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special_tokens_map.json

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target.spm

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tokenizer_config.json

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+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "return_tensors": "pt",
+  "separate_vocabs": false,
+  "source_lang": "eng",
+  "sp_model_kwargs": {},
+  "target_lang": "vie",
+  "tokenizer_class": "MarianTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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