Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- 1_Pooling/config.json +10 -0
- README.md +92 -0
- config.json +28 -0
- config_sentence_transformers.json +9 -0
- eval/Information-Retrieval_evaluation_results.csv +13 -0
- model.safetensors +3 -0
- modules.json +20 -0
- sentence_bert_config.json +4 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +3 -0
- tokenizer_config.json +61 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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1_Pooling/config.json
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{
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"word_embedding_dimension": 768,
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false,
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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false,
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"include_prompt": true
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}
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README.md
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---
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library_name: sentence-transformers
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pipeline_tag: sentence-similarity
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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---
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# {MODEL_NAME}
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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.
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<!--- Describe your model here -->
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## Usage (Sentence-Transformers)
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Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
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```
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pip install -U sentence-transformers
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```
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Then you can use the model like this:
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```python
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from sentence_transformers import SentenceTransformer
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sentences = ["This is an example sentence", "Each sentence is converted"]
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model = SentenceTransformer('{MODEL_NAME}')
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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## Evaluation Results
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<!--- Describe how your model was evaluated -->
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For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
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## Training
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The model was trained with the parameters:
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**DataLoader**:
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`torch.utils.data.dataloader.DataLoader` of length 161 with parameters:
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```
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{'batch_size': 10, 'sampler': 'torch.utils.data.sampler.SequentialSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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```
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**Loss**:
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`sentence_transformers.losses.MultipleNegativesRankingLoss.MultipleNegativesRankingLoss` with parameters:
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```
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{'scale': 20.0, 'similarity_fct': 'cos_sim'}
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```
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Parameters of the fit()-Method:
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```
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{
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"epochs": 3,
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"evaluation_steps": 50,
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"evaluator": "sentence_transformers.evaluation.InformationRetrievalEvaluator.InformationRetrievalEvaluator",
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"max_grad_norm": 1,
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"optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
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"optimizer_params": {
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"lr": 2e-05
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},
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"scheduler": "WarmupLinear",
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"steps_per_epoch": null,
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"warmup_steps": 48,
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"weight_decay": 0.01
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}
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```
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## Full Model Architecture
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```
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SentenceTransformer(
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(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: XLMRobertaModel
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(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, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
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(2): Normalize()
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)
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```
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## Citing & Authors
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<!--- Describe where people can find more information -->
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config.json
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{
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"_name_or_path": "danielheinz/e5-base-sts-en-de",
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"architectures": [
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"XLMRobertaModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.41.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "2.2.2",
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"transformers": "4.36.0",
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"pytorch": "2.0.0"
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},
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"prompts": {},
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"default_prompt_name": null
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}
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eval/Information-Retrieval_evaluation_results.csv
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epoch,steps,cos_sim-Accuracy@1,cos_sim-Accuracy@3,cos_sim-Accuracy@5,cos_sim-Accuracy@10,cos_sim-Precision@1,cos_sim-Recall@1,cos_sim-Precision@3,cos_sim-Recall@3,cos_sim-Precision@5,cos_sim-Recall@5,cos_sim-Precision@10,cos_sim-Recall@10,cos_sim-MRR@10,cos_sim-NDCG@10,cos_sim-MAP@100,dot_score-Accuracy@1,dot_score-Accuracy@3,dot_score-Accuracy@5,dot_score-Accuracy@10,dot_score-Precision@1,dot_score-Recall@1,dot_score-Precision@3,dot_score-Recall@3,dot_score-Precision@5,dot_score-Recall@5,dot_score-Precision@10,dot_score-Recall@10,dot_score-MRR@10,dot_score-NDCG@10,dot_score-MAP@100
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model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:54f3408242c8f86f2f0dd795382d963178297b08dd3f93849ff3d982f28c220e
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3 |
+
size 1112197096
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modules.json
ADDED
@@ -0,0 +1,20 @@
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|
1 |
+
[
|
2 |
+
{
|
3 |
+
"idx": 0,
|
4 |
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"name": "0",
|
5 |
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"path": "",
|
6 |
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"type": "sentence_transformers.models.Transformer"
|
7 |
+
},
|
8 |
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{
|
9 |
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"idx": 1,
|
10 |
+
"name": "1",
|
11 |
+
"path": "1_Pooling",
|
12 |
+
"type": "sentence_transformers.models.Pooling"
|
13 |
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},
|
14 |
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{
|
15 |
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"idx": 2,
|
16 |
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"name": "2",
|
17 |
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"path": "2_Normalize",
|
18 |
+
"type": "sentence_transformers.models.Normalize"
|
19 |
+
}
|
20 |
+
]
|
sentence_bert_config.json
ADDED
@@ -0,0 +1,4 @@
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|
1 |
+
{
|
2 |
+
"max_seq_length": 512,
|
3 |
+
"do_lower_case": false
|
4 |
+
}
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sentencepiece.bpe.model
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
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3 |
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size 5069051
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special_tokens_map.json
ADDED
@@ -0,0 +1,51 @@
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|
1 |
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{
|
2 |
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"bos_token": {
|
3 |
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"content": "<s>",
|
4 |
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"lstrip": false,
|
5 |
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"normalized": false,
|
6 |
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"rstrip": false,
|
7 |
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"single_word": false
|
8 |
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},
|
9 |
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"cls_token": {
|
10 |
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"content": "<s>",
|
11 |
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"lstrip": false,
|
12 |
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"normalized": false,
|
13 |
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"rstrip": false,
|
14 |
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"single_word": false
|
15 |
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},
|
16 |
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"eos_token": {
|
17 |
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"content": "</s>",
|
18 |
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"lstrip": false,
|
19 |
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"normalized": false,
|
20 |
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"rstrip": false,
|
21 |
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"single_word": false
|
22 |
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},
|
23 |
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"mask_token": {
|
24 |
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"content": "<mask>",
|
25 |
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"lstrip": true,
|
26 |
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"normalized": false,
|
27 |
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"rstrip": false,
|
28 |
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"single_word": false
|
29 |
+
},
|
30 |
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"pad_token": {
|
31 |
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"content": "<pad>",
|
32 |
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"lstrip": false,
|
33 |
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"normalized": false,
|
34 |
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"rstrip": false,
|
35 |
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"single_word": false
|
36 |
+
},
|
37 |
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"sep_token": {
|
38 |
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"content": "</s>",
|
39 |
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"lstrip": false,
|
40 |
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"normalized": false,
|
41 |
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"rstrip": false,
|
42 |
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"single_word": false
|
43 |
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},
|
44 |
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"unk_token": {
|
45 |
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"content": "<unk>",
|
46 |
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"lstrip": false,
|
47 |
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"normalized": false,
|
48 |
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"rstrip": false,
|
49 |
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"single_word": false
|
50 |
+
}
|
51 |
+
}
|
tokenizer.json
ADDED
@@ -0,0 +1,3 @@
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|
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|
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:883b037111086fd4dfebbbc9b7cee11e1517b5e0c0514879478661440f137085
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3 |
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size 17082987
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tokenizer_config.json
ADDED
@@ -0,0 +1,61 @@
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|
1 |
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{
|
2 |
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"added_tokens_decoder": {
|
3 |
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"0": {
|
4 |
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"content": "<s>",
|
5 |
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|
6 |
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|
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|
8 |
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|
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|
10 |
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|
11 |
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|
12 |
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|
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|
14 |
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|
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|
16 |
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|
17 |
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"special": true
|
18 |
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},
|
19 |
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"2": {
|
20 |
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|
21 |
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|
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|
23 |
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|
24 |
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"single_word": false,
|
25 |
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"special": true
|
26 |
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},
|
27 |
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"3": {
|
28 |
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|
29 |
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|
30 |
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|
31 |
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|
32 |
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"single_word": false,
|
33 |
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"special": true
|
34 |
+
},
|
35 |
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"250001": {
|
36 |
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"content": "<mask>",
|
37 |
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|
38 |
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|
39 |
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"rstrip": false,
|
40 |
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|
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"special": true
|
42 |
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}
|
43 |
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},
|
44 |
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"bos_token": "<s>",
|
45 |
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"clean_up_tokenization_spaces": true,
|
46 |
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"cls_token": "<s>",
|
47 |
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"eos_token": "</s>",
|
48 |
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"mask_token": "<mask>",
|
49 |
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"max_length": 512,
|
50 |
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"model_max_length": 512,
|
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"pad_to_multiple_of": null,
|
52 |
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"pad_token": "<pad>",
|
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"pad_token_type_id": 0,
|
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"padding_side": "right",
|
55 |
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"sep_token": "</s>",
|
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"stride": 0,
|
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"tokenizer_class": "XLMRobertaTokenizer",
|
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"truncation_side": "right",
|
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"truncation_strategy": "longest_first",
|
60 |
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"unk_token": "<unk>"
|
61 |
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}
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