Jipumpkin
Browse files- README.md +66 -0
- config.json +56 -0
- model.safetensors +3 -0
- runs/Oct08_11-08-37_Jipmupkin/events.out.tfevents.1728353318.Jipmupkin.29048.0 +3 -0
- runs/Oct08_11-13-02_Jipmupkin/events.out.tfevents.1728353583.Jipmupkin.29048.1 +3 -0
- runs/Oct08_11-13-28_Jipmupkin/events.out.tfevents.1728353611.Jipmupkin.29048.2 +3 -0
- runs/Oct08_11-14-34_Jipmupkin/events.out.tfevents.1728353675.Jipmupkin.25972.0 +3 -0
- runs/Oct08_11-30-25_Jipmupkin/events.out.tfevents.1728354626.Jipmupkin.29048.3 +3 -0
- runs/Oct08_11-31-19_Jipmupkin/events.out.tfevents.1728354679.Jipmupkin.29048.4 +3 -0
- runs/Oct08_11-32-13_Jipmupkin/events.out.tfevents.1728354734.Jipmupkin.33712.0 +3 -0
- runs/Oct08_11-32-13_Jipmupkin/events.out.tfevents.1728354897.Jipmupkin.33712.1 +3 -0
- runs/Oct08_11-32-13_Jipmupkin/events.out.tfevents.1728354912.Jipmupkin.33712.2 +3 -0
- runs/Oct08_11-32-13_Jipmupkin/events.out.tfevents.1728354923.Jipmupkin.33712.3 +3 -0
- runs/Oct08_11-36-38_Jipmupkin/events.out.tfevents.1728354999.Jipmupkin.2012.0 +3 -0
- runs/Oct08_11-44-41_Jipmupkin/events.out.tfevents.1728355482.Jipmupkin.12692.0 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: beomi/kcbert-base
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tags:
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- LMH
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- 10_class
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- multi_labels
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- generated_from_trainer
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model-index:
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- name: 1008model
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# 1008model
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This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the unsmile_data dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1297
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- Lrap: 0.8807
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Lrap |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 235 | 0.1495 | 0.8542 |
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| No log | 2.0 | 470 | 0.1345 | 0.8655 |
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| 0.1725 | 3.0 | 705 | 0.1247 | 0.8818 |
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| 0.1725 | 4.0 | 940 | 0.1284 | 0.8790 |
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| 0.0802 | 5.0 | 1175 | 0.1297 | 0.8807 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu118
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- Datasets 3.0.1
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "beomi/kcbert-base",
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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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"directionality": "bidi",
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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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"3": "LABEL_3",
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"4": "LABEL_4",
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"5": "LABEL_5",
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"6": "LABEL_6",
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"7": "LABEL_7",
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"8": "LABEL_8",
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"9": "LABEL_9"
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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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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5,
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"LABEL_6": 6,
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"LABEL_7": 7,
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"LABEL_8": 8,
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"LABEL_9": 9
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 300,
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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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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"problem_type": "multi_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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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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model.safetensors
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runs/Oct08_11-36-38_Jipmupkin/events.out.tfevents.1728354999.Jipmupkin.2012.0
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runs/Oct08_11-44-41_Jipmupkin/events.out.tfevents.1728355482.Jipmupkin.12692.0
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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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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"4": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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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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"mask_token": "[MASK]",
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"model_max_length": 300,
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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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"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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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b1834e23768958a803dc130292d612e9e3ba88ee506652afec601a9561fa9d9
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size 5176
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vocab.txt
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