apriandito
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Browse files- README.md +36 -0
- checkpoint-394/config.json +40 -0
- checkpoint-394/model.safetensors +3 -0
- checkpoint-394/optimizer.pt +3 -0
- checkpoint-394/rng_state.pth +3 -0
- checkpoint-394/scheduler.pt +3 -0
- checkpoint-394/trainer_state.json +200 -0
- checkpoint-394/training_args.bin +3 -0
- config.json +40 -0
- model.safetensors +3 -0
- runs/Aug04_23-18-13_r-apriandito-autotrain-gpu-kao3kt4z-77feb-iwy6l/events.out.tfevents.1722813494.r-apriandito-autotrain-gpu-kao3kt4z-77feb-iwy6l.84.0 +2 -2
- runs/Aug04_23-18-13_r-apriandito-autotrain-gpu-kao3kt4z-77feb-iwy6l/events.out.tfevents.1722813731.r-apriandito-autotrain-gpu-kao3kt4z-77feb-iwy6l.84.1 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- training_args.bin +3 -0
- training_params.json +30 -0
- vocab.txt +0 -0
README.md
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---
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tags:
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- autotrain
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- text-classification
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base_model: indolem/indobert-base-uncased
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widget:
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- text: "I love AutoTrain"
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---
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# Model Trained Using AutoTrain
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- Problem type: Text Classification
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## Validation Metrics
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loss: 0.3493249714374542
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f1_macro: 0.8587115151389507
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f1_micro: 0.8591370558375635
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f1_weighted: 0.8587215186743026
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precision_macro: 0.8605661249338893
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precision_micro: 0.8591370558375635
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precision_weighted: 0.8606149854262679
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recall_macro: 0.8591656266024246
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recall_micro: 0.8591370558375635
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recall_weighted: 0.8591370558375635
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accuracy: 0.8591370558375635
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checkpoint-394/config.json
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{
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"_name_or_path": "indolem/indobert-base-uncased",
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"_num_labels": 3,
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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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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_ids": 0,
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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": "Berita",
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"1": "Opini dan Pengalaman Personal",
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"2": "Promosi"
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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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"Berita": 0,
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"Opini dan Pengalaman Personal": 1,
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"Promosi": 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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"output_past": true,
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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": "4.43.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 31923
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}
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checkpoint-394/model.safetensors
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checkpoint-394/optimizer.pt
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tokenizer_config.json
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training_params.json
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vocab.txt
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