Rahka commited on
Commit
0b772fd
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1 Parent(s): 8002f12

training_172e61b

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Files changed (6) hide show
  1. README.md +2 -2
  2. config.json +16 -15
  3. pytorch_model.bin +2 -2
  4. tokenizer.json +2 -2
  5. tokenizer_config.json +3 -3
  6. vocab.txt +0 -0
README.md CHANGED
@@ -85,7 +85,7 @@ The model was trained with the parameters:
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  **DataLoader**:
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- `torch.utils.data.dataloader.DataLoader` of length 127 with parameters:
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  ```
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  {'batch_size': 16, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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  ```
@@ -116,7 +116,7 @@ Parameters of the fit()-Method:
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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': 256, 'do_lower_case': False}) with Transformer model: DistilBertModel
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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})
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  )
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  ```
 
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  **DataLoader**:
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+ `torch.utils.data.dataloader.DataLoader` of length 190 with parameters:
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  ```
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  {'batch_size': 16, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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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': 256, 'do_lower_case': False}) with Transformer model: BertModel
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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})
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  )
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  ```
config.json CHANGED
@@ -1,24 +1,25 @@
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  {
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- "_name_or_path": "sentence-transformers/multi-qa-distilbert-cos-v1",
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- "activation": "gelu",
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  "architectures": [
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- "DistilBertModel"
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  ],
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- "attention_dropout": 0.1,
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- "dim": 768,
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- "dropout": 0.1,
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- "hidden_dim": 3072,
 
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  "initializer_range": 0.02,
 
 
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  "max_position_embeddings": 512,
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- "model_type": "distilbert",
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- "n_heads": 12,
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- "n_layers": 6,
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  "pad_token_id": 0,
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- "qa_dropout": 0.1,
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- "seq_classif_dropout": 0.2,
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- "sinusoidal_pos_embds": false,
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- "tie_weights_": true,
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  "torch_dtype": "float32",
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  "transformers_version": "4.25.1",
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- "vocab_size": 30522
 
 
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  }
 
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  {
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+ "_name_or_path": "bert-base-german-cased",
 
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  "architectures": [
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+ "BertModel"
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  ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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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-12,
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  "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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  "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
 
 
 
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  "torch_dtype": "float32",
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  "transformers_version": "4.25.1",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30000
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  }
pytorch_model.bin CHANGED
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tokenizer.json CHANGED
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tokenizer_config.json CHANGED
@@ -1,14 +1,14 @@
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  {
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  "cls_token": "[CLS]",
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- "do_lower_case": true,
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  "mask_token": "[MASK]",
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  "model_max_length": 512,
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- "name_or_path": "sentence-transformers/multi-qa-distilbert-cos-v1",
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  "pad_token": "[PAD]",
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  "sep_token": "[SEP]",
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  "special_tokens_map_file": null,
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  "strip_accents": null,
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  "tokenize_chinese_chars": true,
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- "tokenizer_class": "DistilBertTokenizer",
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  "unk_token": "[UNK]"
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  }
 
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  {
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  "cls_token": "[CLS]",
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+ "do_lower_case": false,
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  "mask_token": "[MASK]",
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  "model_max_length": 512,
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+ "name_or_path": "bert-base-german-cased",
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  "special_tokens_map_file": null,
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  "strip_accents": null,
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  "tokenize_chinese_chars": true,
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+ "tokenizer_class": "BertTokenizer",
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  "unk_token": "[UNK]"
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  }
vocab.txt CHANGED
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