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Andreagus/fin_distilbert_16/config.json
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{
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"_name_or_path": "distilbert-base-uncased",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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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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"problem_type": "single_label_classification",
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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": "4.32.1",
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"vocab_size": 30522
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}
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Andreagus/fin_distilbert_16/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9182b51d98fbffc39ab30635bc1cc974653a8e17d6f6ab961f30a39677113849
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size 267855978
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Andreagus/fin_miniLM_16/config.json
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{
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"_name_or_path": "microsoft/MiniLM-L12-H384-uncased",
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"architectures": [
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"BertForSequenceClassification"
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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": 384,
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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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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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.32.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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Andreagus/fin_miniLM_16/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c859c7a9648a9b9678005399ae03768edc9f046fa9c2908ae7274ad6ad361af4
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size 133511918
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Andreagus/fin_tinyBert_32/config.json
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{
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"_name_or_path": "huawei-noah/TinyBERT_General_4L_312D",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"cell": {},
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"classifier_dropout": null,
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"emb_size": 312,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 312,
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"initializer_range": 0.02,
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"intermediate_size": 1200,
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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": 4,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"pre_trained": "",
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"problem_type": "single_label_classification",
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"structure": [],
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"torch_dtype": "float32",
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"transformers_version": "4.32.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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Andreagus/fin_tinyBert_32/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b9884dbbca4e92800e357ee9ebf9b320587b735e7f77f65c3fa1d1866e10ef4b
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size 57427209
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