Model upload
Browse files- config.json +114 -0
- pytorch_model.bin +3 -0
- tokenizer_config.json +17 -0
- trainer_state.json +82 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "/scratch/ba63/BERT_models/bert-base-arabic-camelbert-msa",
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"architectures": [
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"BertForTokenClassificationSingleLabel"
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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": "DELETE",
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"1": "MERGE-B",
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"2": "MERGE-I",
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"3": "REPLACE_M",
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"4": "REPLACE_MI",
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"5": "REPLACE_MI+REPLACE_OH",
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"6": "REPLACE_MT",
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"7": "REPLACE_O",
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"8": "REPLACE_OA",
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"9": "REPLACE_OA+REPLACE_OH",
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"10": "REPLACE_OA+REPLACE_OR",
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"11": "REPLACE_OC",
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"12": "REPLACE_OD",
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"13": "REPLACE_OD+REPLACE_OG",
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"14": "REPLACE_OD+REPLACE_OH",
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"15": "REPLACE_OD+REPLACE_OM",
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"16": "REPLACE_OD+REPLACE_OR",
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"17": "REPLACE_OH",
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"18": "REPLACE_OH+REPLACE_OM",
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"19": "REPLACE_OH+REPLACE_OT",
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"20": "REPLACE_OH+REPLACE_XC",
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"21": "REPLACE_OM",
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"22": "REPLACE_OM+REPLACE_OR",
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"23": "REPLACE_OR",
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"24": "REPLACE_OR+REPLACE_OT",
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"25": "REPLACE_OT",
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"26": "REPLACE_OW",
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"27": "REPLACE_P",
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"28": "REPLACE_S",
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"29": "REPLACE_SF",
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"30": "REPLACE_SW",
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"31": "REPLACE_X",
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"32": "REPLACE_XC",
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"33": "REPLACE_XC+REPLACE_XG",
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"34": "REPLACE_XC+REPLACE_XN",
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"35": "REPLACE_XF",
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"36": "REPLACE_XG",
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"37": "REPLACE_XM",
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"38": "REPLACE_XN",
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"39": "REPLACE_XT",
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"40": "SPLIT",
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"41": "UC"
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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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"DELETE": 0,
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"MERGE-B": 1,
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"MERGE-I": 2,
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"REPLACE_M": 3,
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"REPLACE_MI": 4,
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"REPLACE_MI+REPLACE_OH": 5,
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"REPLACE_MT": 6,
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"REPLACE_O": 7,
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"REPLACE_OA": 8,
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"REPLACE_OA+REPLACE_OH": 9,
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"REPLACE_OA+REPLACE_OR": 10,
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"REPLACE_OC": 11,
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"REPLACE_OD": 12,
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"REPLACE_OD+REPLACE_OG": 13,
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"REPLACE_OD+REPLACE_OH": 14,
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"REPLACE_OD+REPLACE_OM": 15,
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"REPLACE_OD+REPLACE_OR": 16,
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"REPLACE_OH": 17,
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"REPLACE_OH+REPLACE_OM": 18,
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"REPLACE_OH+REPLACE_OT": 19,
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"REPLACE_OH+REPLACE_XC": 20,
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"REPLACE_OM": 21,
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"REPLACE_OM+REPLACE_OR": 22,
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"REPLACE_OR": 23,
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"REPLACE_OR+REPLACE_OT": 24,
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"REPLACE_OT": 25,
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"REPLACE_OW": 26,
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"REPLACE_P": 27,
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"REPLACE_S": 28,
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"REPLACE_SF": 29,
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"REPLACE_SW": 30,
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"REPLACE_X": 31,
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"REPLACE_XC": 32,
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"REPLACE_XC+REPLACE_XG": 33,
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"REPLACE_XC+REPLACE_XN": 34,
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"REPLACE_XF": 35,
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"REPLACE_XG": 36,
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"REPLACE_XM": 37,
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"REPLACE_XN": 38,
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"REPLACE_XT": 39,
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"SPLIT": 40,
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"UC": 41
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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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"torch_dtype": "float32",
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"transformers_version": "4.22.2",
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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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oid sha256:a63b7098db258825b72b92f1febaab113381b6fadeeb21386b52beaa2ef568eb
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size 434162609
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tokenizer_config.json
ADDED
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{
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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"full_tokenizer_file": null,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "/scratch/ba63/BERT_models/bert-base-arabic-camelbert-msa",
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"never_split": null,
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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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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 8.856682769726248,
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"global_step": 5500,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.81,
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"learning_rate": 4.597423510466989e-05,
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"loss": 0.3372,
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"step": 500
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},
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{
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"epoch": 1.61,
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"learning_rate": 4.194847020933977e-05,
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"loss": 0.2233,
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"step": 1000
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},
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{
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"epoch": 2.42,
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"learning_rate": 3.7922705314009665e-05,
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"loss": 0.1856,
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"step": 1500
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},
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{
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"epoch": 3.22,
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"learning_rate": 3.389694041867955e-05,
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"loss": 0.1587,
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"step": 2000
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},
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{
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"epoch": 4.03,
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"learning_rate": 2.9871175523349438e-05,
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"loss": 0.1332,
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"step": 2500
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},
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{
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"epoch": 4.83,
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"learning_rate": 2.5845410628019323e-05,
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"loss": 0.1059,
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"step": 3000
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},
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{
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"epoch": 5.64,
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"learning_rate": 2.1819645732689212e-05,
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"loss": 0.0869,
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"step": 3500
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},
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{
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"epoch": 6.44,
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"learning_rate": 1.77938808373591e-05,
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"loss": 0.0743,
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"step": 4000
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},
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{
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"epoch": 7.25,
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"learning_rate": 1.3768115942028985e-05,
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"loss": 0.0633,
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"step": 4500
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},
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{
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"epoch": 8.05,
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"learning_rate": 9.742351046698874e-06,
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"loss": 0.0537,
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"step": 5000
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},
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{
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"epoch": 8.86,
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"learning_rate": 5.71658615136876e-06,
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"loss": 0.0457,
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"step": 5500
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}
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],
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"max_steps": 6210,
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"num_train_epochs": 10,
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"total_flos": 1.4222892248394192e+16,
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"trial_name": null,
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"trial_params": null
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}
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vocab.txt
ADDED
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