commit c08153a4fdc254eae5f61e39d7c921181b6f32f8
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Sun Jul 5 12:56:17 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: TingChenChang/make-multilingual-en-zh-tw-20220825062338
    Source: Original Platform

diff --git a/.gitattributes b/.gitattributes
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diff --git a/.ipynb_checkpoints/config_sentence_transformers-checkpoint.json b/.ipynb_checkpoints/config_sentence_transformers-checkpoint.json
new file mode 100644
index 0000000..f2086f0
--- /dev/null
+++ b/.ipynb_checkpoints/config_sentence_transformers-checkpoint.json
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+{
+  "__version__": {
+    "sentence_transformers": "2.2.2",
+    "transformers": "4.21.1",
+    "pytorch": "1.12.1+cu102"
+  }
+}
\ No newline at end of file
diff --git a/1_Pooling/config.json b/1_Pooling/config.json
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index 0000000..4e09f29
--- /dev/null
+++ b/1_Pooling/config.json
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+{
+  "word_embedding_dimension": 768,
+  "pooling_mode_cls_token": false,
+  "pooling_mode_mean_tokens": true,
+  "pooling_mode_max_tokens": false,
+  "pooling_mode_mean_sqrt_len_tokens": false
+}
\ No newline at end of file
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..9410c2c
--- /dev/null
+++ b/README.md
@@ -0,0 +1,127 @@
+---
+pipeline_tag: sentence-similarity
+tags:
+- sentence-transformers
+- feature-extraction
+- sentence-similarity
+- transformers
+
+---
+
+# {MODEL_NAME}
+
+This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
+
+<!--- Describe your model here -->
+
+## Usage (Sentence-Transformers)
+
+Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
+
+```
+pip install -U sentence-transformers
+```
+
+Then you can use the model like this:
+
+```python
+from sentence_transformers import SentenceTransformer
+sentences = ["This is an example sentence", "Each sentence is converted"]
+
+model = SentenceTransformer('{MODEL_NAME}')
+embeddings = model.encode(sentences)
+print(embeddings)
+```
+
+
+
+## Usage (HuggingFace Transformers)
+Without [sentence-transformers](https://www.SBERT.net), you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings.
+
+```python
+from transformers import AutoTokenizer, AutoModel
+import torch
+
+
+#Mean Pooling - Take attention mask into account for correct averaging
+def mean_pooling(model_output, attention_mask):
+    token_embeddings = model_output[0] #First element of model_output contains all token embeddings
+    input_mask_expanded = attention_mask.unsqueeze(-1).expand(token_embeddings.size()).float()
+    return torch.sum(token_embeddings * input_mask_expanded, 1) / torch.clamp(input_mask_expanded.sum(1), min=1e-9)
+
+
+# Sentences we want sentence embeddings for
+sentences = ['This is an example sentence', 'Each sentence is converted']
+
+# Load model from HuggingFace Hub
+tokenizer = AutoTokenizer.from_pretrained('{MODEL_NAME}')
+model = AutoModel.from_pretrained('{MODEL_NAME}')
+
+# Tokenize sentences
+encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
+
+# Compute token embeddings
+with torch.no_grad():
+    model_output = model(**encoded_input)
+
+# Perform pooling. In this case, mean pooling.
+sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
+
+print("Sentence embeddings:")
+print(sentence_embeddings)
+```
+
+
+
+## Evaluation Results
+
+<!--- Describe how your model was evaluated -->
+
+For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
+
+
+## Training
+The model was trained with the parameters:
+
+**DataLoader**:
+
+`torch.utils.data.dataloader.DataLoader` of length 11898 with parameters:
+```
+{'batch_size': 64, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
+```
+
+**Loss**:
+
+`sentence_transformers.losses.MSELoss.MSELoss` 
+
+Parameters of the fit()-Method:
+```
+{
+    "epochs": 5,
+    "evaluation_steps": 1000,
+    "evaluator": "sentence_transformers.evaluation.SequentialEvaluator.SequentialEvaluator",
+    "max_grad_norm": 1,
+    "optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
+    "optimizer_params": {
+        "eps": 1e-06,
+        "lr": 2e-05
+    },
+    "scheduler": "WarmupLinear",
+    "steps_per_epoch": null,
+    "warmup_steps": 10000,
+    "weight_decay": 0.01
+}
+```
+
+
+## Full Model Architecture
+```
+SentenceTransformer(
+  (0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: XLMRobertaModel 
+  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})
+)
+```
+
+## Citing & Authors
+
+<!--- Describe where people can find more information -->
\ No newline at end of file
diff --git a/config.json b/config.json
new file mode 100644
index 0000000..a06d376
--- /dev/null
+++ b/config.json
@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "sbert-make-multilingual/output/make-multilingual-en-zh-tw-20220825062338/",
+  "architectures": [
+    "XLMRobertaModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}
diff --git a/config_sentence_transformers.json b/config_sentence_transformers.json
new file mode 100644
index 0000000..f2086f0
--- /dev/null
+++ b/config_sentence_transformers.json
@@ -0,0 +1,7 @@
+{
+  "__version__": {
+    "sentence_transformers": "2.2.2",
+    "transformers": "4.21.1",
+    "pytorch": "1.12.1+cu102"
+  }
+}
\ No newline at end of file
diff --git a/eval/mse_evaluation_TED2020-en-zh-tw-dev.tsv.gz_results.csv b/eval/mse_evaluation_TED2020-en-zh-tw-dev.tsv.gz_results.csv
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diff --git a/eval/similarity_evaluation_STS.zh-tw-zh-tw.txt_results.csv b/eval/similarity_evaluation_STS.zh-tw-zh-tw.txt_results.csv
new file mode 100644
index 0000000..52f53ca
--- /dev/null
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diff --git a/eval/translation_evaluation_TED2020-en-zh-tw-dev.tsv.gz_results.csv b/eval/translation_evaluation_TED2020-en-zh-tw-dev.tsv.gz_results.csv
new file mode 100644
index 0000000..8a86a2f
--- /dev/null
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diff --git a/modules.json b/modules.json
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index 0000000..f7640f9
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+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
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+    "name": "1",
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+    "type": "sentence_transformers.models.Pooling"
+  }
+]
\ No newline at end of file
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diff --git a/sentence_bert_config.json b/sentence_bert_config.json
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+{
+  "max_seq_length": 128,
+  "do_lower_case": false
+}
\ No newline at end of file
diff --git a/sentencepiece.bpe.model b/sentencepiece.bpe.model
new file mode 100644
index 0000000..7a3f40a
--- /dev/null
+++ b/sentencepiece.bpe.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
+size 5069051
diff --git a/special_tokens_map.json b/special_tokens_map.json
new file mode 100644
index 0000000..d569813
--- /dev/null
+++ b/special_tokens_map.json
@@ -0,0 +1,15 @@
+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}
diff --git a/tokenizer.json b/tokenizer.json
new file mode 100644
index 0000000..b0b95de
--- /dev/null
+++ b/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b60b6b43406a48bf3638526314f3d232d97058bc93472ff2de930d43686fa441
+size 17082913
diff --git a/tokenizer_config.json b/tokenizer_config.json
new file mode 100644
index 0000000..25a4f32
--- /dev/null
+++ b/tokenizer_config.json
@@ -0,0 +1,20 @@
+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "__type": "AddedToken",
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "model_max_length": 512,
+  "name_or_path": "sbert-make-multilingual/output/make-multilingual-en-zh-tw-20220825062338/",
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "special_tokens_map_file": null,
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}