Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +34 -0
- pytorch_model.bin +3 -0
- runs/Mar21_19-17-57_02cc4011d5ee/1679426282.741947/events.out.tfevents.1679426282.02cc4011d5ee.710.1 +3 -0
- runs/Mar21_19-17-57_02cc4011d5ee/events.out.tfevents.1679426282.02cc4011d5ee.710.0 +3 -0
- runs/Mar21_19-23-19_02cc4011d5ee/1679426602.5642393/events.out.tfevents.1679426602.02cc4011d5ee.710.3 +3 -0
- runs/Mar21_19-23-19_02cc4011d5ee/events.out.tfevents.1679426602.02cc4011d5ee.710.2 +3 -0
- runs/Mar21_19-26-15_02cc4011d5ee/1679426778.721348/events.out.tfevents.1679426778.02cc4011d5ee.710.5 +3 -0
- runs/Mar21_19-26-15_02cc4011d5ee/events.out.tfevents.1679426778.02cc4011d5ee.710.4 +3 -0
- runs/Mar21_19-59-05_02cc4011d5ee/1679428750.1328943/events.out.tfevents.1679428750.02cc4011d5ee.14941.1 +3 -0
- runs/Mar21_19-59-05_02cc4011d5ee/events.out.tfevents.1679428750.02cc4011d5ee.14941.0 +3 -0
- runs/Mar21_20-02-55_02cc4011d5ee/1679428979.0567005/events.out.tfevents.1679428979.02cc4011d5ee.14941.3 +3 -0
- runs/Mar21_20-02-55_02cc4011d5ee/events.out.tfevents.1679428979.02cc4011d5ee.14941.2 +3 -0
- runs/Mar21_20-03-18_02cc4011d5ee/1679429002.6463494/events.out.tfevents.1679429002.02cc4011d5ee.14941.5 +3 -0
- runs/Mar21_20-03-18_02cc4011d5ee/events.out.tfevents.1679429002.02cc4011d5ee.14941.4 +3 -0
- runs/Mar21_20-28-55_02cc4011d5ee/1679430539.8411026/events.out.tfevents.1679430539.02cc4011d5ee.27362.1 +3 -0
- runs/Mar21_20-28-55_02cc4011d5ee/events.out.tfevents.1679430539.02cc4011d5ee.27362.0 +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +22 -0
- training_args.bin +3 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "albert-base-v2",
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"architectures": [
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"AlbertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0,
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"bos_token_id": 2,
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"classifier_dropout_prob": 0.1,
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"down_scale_factor": 1,
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"embedding_size": 128,
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"eos_token_id": 3,
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"gap_size": 0,
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"hidden_act": "gelu_new",
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"hidden_dropout_prob": 0,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"inner_group_num": 1,
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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": "albert",
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"net_structure_type": 0,
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"num_attention_heads": 12,
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"num_hidden_groups": 1,
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"num_hidden_layers": 12,
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"num_memory_blocks": 0,
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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": "4.27.2",
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"type_vocab_size": 2,
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"vocab_size": 30000
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}
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pytorch_model.bin
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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training_args.bin
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