training_172e61b
Browse files- README.md +2 -2
- config.json +16 -15
- pytorch_model.bin +2 -2
- tokenizer.json +2 -2
- tokenizer_config.json +3 -3
- vocab.txt +0 -0
README.md
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@@ -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
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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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@@ -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:
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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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```
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config.json
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@@ -1,24 +1,25 @@
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{
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"_name_or_path": "
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"activation": "gelu",
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"architectures": [
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"
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],
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"
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"
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"
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"
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"initializer_range": 0.02,
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"max_position_embeddings": 512,
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"model_type": "
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"
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"
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"pad_token_id": 0,
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"
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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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"
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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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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:623ff250f91117b4a36819a47864c458bbc3dc3cb456112354612526c9c38648
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size 436393773
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:d54bebe9160e2e5bce47d50dcad91e0fc9e1df3c41b46352ccc6bb8475c652ef
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size 726526
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tokenizer_config.json
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{
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"cls_token": "[CLS]",
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"do_lower_case":
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "
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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": "
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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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"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": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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