add bert fine tuned on arsen-lev dataset 4000 tweets
Browse files- config.json +37 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- trainer_state.json +286 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "aubmindlab/bert-base-arabertv02-twitter",
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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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"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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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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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": "4.16.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 64000
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}
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:451ad01260afa918058ff20d77a880e5dcb684010134e776bb60ff145ce2b0cd
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size 1081681501
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ac45284dc8cbcb429754612048911aa394cc0229b6e3086e8af6c83166140a9c
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size 540866733
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:2983e92fad9d50f2ea801bfb318054add5385e93fee6c28c3e00817c996b3eee
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size 14503
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a650fd1afb41e4216f12bd406f88d51e1d721424a3fa2df72d949320c511c8fa
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size 623
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "do_basic_tokenize": true, "never_split": ["[بريد]", "[مستخدم]", "[رابط]"], "max_len": 512, "special_tokens_map_file": null, "name_or_path": "aubmindlab/bert-base-arabertv02-twitter", "use_fast": true, "tokenizer_class": "BertTokenizer"}
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trainer_state.json
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{
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training_args.bin
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vocab.txt
ADDED
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