End of training

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
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+source.spm filter=lfs diff=lfs merge=lfs -text
+target.spm filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,86 @@
+---
+library_name: transformers
+language:
+- nan
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-en-ZH
+tags:
+- generated_from_trainer
+datasets:
+- sarahwei/Taiwanese-Minnan-Example-Sentences
+metrics:
+- bleu
+model-index:
+- name: helsinki_new_ver1
+  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. -->
+
+# helsinki_new_ver1
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ZH](https://huggingface.co/Helsinki-NLP/opus-mt-en-ZH) on the sarahwei/Taiwanese-Minnan-Example-Sentences dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4153
+- Bleu: 0.0081
+
+## 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: 1e-06
+- train_batch_size: 8
+- eval_batch_size: 16
+- 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
+- lr_scheduler_warmup_steps: 1000
+- training_steps: 20000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Bleu   |
+|:-------------:|:-------:|:-----:|:---------------:|:------:|
+| 0.8615        | 0.5656  | 1000  | 0.5171          | 0.0028 |
+| 0.809         | 1.1312  | 2000  | 0.4937          | 0.0035 |
+| 0.802         | 1.6968  | 3000  | 0.4801          | 0.0038 |
+| 0.763         | 2.2624  | 4000  | 0.4691          | 0.0052 |
+| 0.7475        | 2.8281  | 5000  | 0.4607          | 0.0053 |
+| 0.7363        | 3.3937  | 6000  | 0.4534          | 0.0057 |
+| 0.7263        | 3.9593  | 7000  | 0.4470          | 0.0057 |
+| 0.7166        | 4.5249  | 8000  | 0.4413          | 0.0062 |
+| 0.7119        | 5.0905  | 9000  | 0.4363          | 0.0061 |
+| 0.7097        | 5.6561  | 10000 | 0.4324          | 0.0064 |
+| 0.6921        | 6.2217  | 11000 | 0.4289          | 0.0070 |
+| 0.692         | 6.7873  | 12000 | 0.4258          | 0.0064 |
+| 0.6773        | 7.3529  | 13000 | 0.4232          | 0.0067 |
+| 0.6918        | 7.9186  | 14000 | 0.4210          | 0.0073 |
+| 0.6789        | 8.4842  | 15000 | 0.4194          | 0.0078 |
+| 0.6801        | 9.0498  | 16000 | 0.4178          | 0.0072 |
+| 0.6734        | 9.6154  | 17000 | 0.4167          | 0.0070 |
+| 0.6808        | 10.1810 | 18000 | 0.4159          | 0.0079 |
+| 0.669         | 10.7466 | 19000 | 0.4155          | 0.0081 |
+| 0.6667        | 11.3122 | 20000 | 0.4153          | 0.0081 |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.1
+- Tokenizers 0.21.1

config.json

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+{
+  "activation_dropout": 0.0,
+  "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": 65000,
+  "decoder_vocab_size": 65001,
+  "do_blenderbot_90_layernorm": false,
+  "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": 0,
+  "force_bos_token_to_be_generated": false,
+  "forced_eos_token_id": 0,
+  "gradient_checkpointing": false,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_length": null,
+  "max_position_embeddings": 512,
+  "model_type": "marian",
+  "normalize_before": false,
+  "normalize_embedding": false,
+  "num_beams": null,
+  "num_hidden_layers": 6,
+  "pad_token_id": 65000,
+  "scale_embedding": true,
+  "share_encoder_decoder_embeddings": true,
+  "static_position_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "use_cache": true,
+  "vocab_size": 65001
+}

generation_config.json

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+      65000
+    ]
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+  "decoder_start_token_id": 65000,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 65000,
+  "renormalize_logits": true,
+  "transformers_version": "4.51.3"
+}

model.safetensors

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special_tokens_map.json

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+  "eos_token": "</s>",
+  "pad_token": "<pad>",
+  "unk_token": "<unk>"
+}

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tokenizer_config.json

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+      "normalized": false,
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+  "pad_token": "<pad>",
+  "separate_vocabs": false,
+  "source_lang": "eng",
+  "sp_model_kwargs": {},
+  "target_lang": "zho",
+  "tokenizer_class": "MarianTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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