Guowei He
commited on
Commit
•
8fe3ce4
1
Parent(s):
3f38a04
Saving weights and logs of step 342
Browse files- config.json +26 -0
- events.out.tfevents.1663919660.dgx-r59-1.leto.internal.aios.me.1270444.0.v2 +3 -0
- events.out.tfevents.1663920251.dgx-r59-1.leto.internal.aios.me.1276213.0.v2 +3 -0
- flax_model.msgpack +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "bert-base-cased",
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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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"finetuning_task": "mrpc",
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"gradient_checkpointing": false,
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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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"transformers_version": "4.22.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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}
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events.out.tfevents.1663919660.dgx-r59-1.leto.internal.aios.me.1270444.0.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:724ab353b3dcfe89c4943b260538ab5b701b92a04ba69f9a7e5e9fcdbda87513
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size 3508
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events.out.tfevents.1663920251.dgx-r59-1.leto.internal.aios.me.1276213.0.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca50e70ae16714d6efb6aedf7ced28a58395f5d7fbe082554c3bc922b2ac05da
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size 4332
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flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:05d9e3cfcfc4d42caabcd874e8c1d19ee63c3bbee6bb72e3c9fe9f6ef6bf3d94
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size 433254456
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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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": 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-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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