djsull/aha_class_v1
Browse files- README.md +23 -21
- config.json +13 -21
- model.safetensors +2 -2
- runs/Sep27_09-13-59_129-146-79-76/events.out.tfevents.1727428440.129-146-79-76.1534557.0 +3 -0
- runs/Sep27_09-13-59_129-146-79-76/events.out.tfevents.1727428877.129-146-79-76.1534557.1 +3 -0
- special_tokens_map.json +2 -2
- tokenizer.json +0 -0
- tokenizer_config.json +7 -23
- training_args.bin +1 -1
- vocab.txt +0 -0
README.md
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---
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base_model:
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tags:
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- generated_from_trainer
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metrics:
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@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
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# aha_class_v1
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- F1: 0
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- Roc Auc: 0
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- Accuracy: 0
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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| No log | 5.0 |
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| No log | 6.0 |
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| No log | 7.0 |
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| No log | 8.0 |
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| No log | 9.0 |
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| No log | 10.0 |
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| No log | 11.0 |
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### Framework versions
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---
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base_model: klue/roberta-base
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tags:
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- generated_from_trainer
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metrics:
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# aha_class_v1
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This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0020
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- F1: 1.0
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- Roc Auc: 1.0
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- Accuracy: 1.0
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---:|:-------:|:--------:|
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| No log | 1.0 | 35 | 0.0594 | 1.0 | 1.0 | 1.0 |
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| No log | 2.0 | 70 | 0.0186 | 1.0 | 1.0 | 1.0 |
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| No log | 3.0 | 105 | 0.0108 | 1.0 | 1.0 | 1.0 |
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| No log | 4.0 | 140 | 0.0075 | 1.0 | 1.0 | 1.0 |
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| No log | 5.0 | 175 | 0.0057 | 1.0 | 1.0 | 1.0 |
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| No log | 6.0 | 210 | 0.0044 | 1.0 | 1.0 | 1.0 |
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| No log | 7.0 | 245 | 0.0036 | 1.0 | 1.0 | 1.0 |
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| No log | 8.0 | 280 | 0.0031 | 1.0 | 1.0 | 1.0 |
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| No log | 9.0 | 315 | 0.0027 | 1.0 | 1.0 | 1.0 |
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| No log | 10.0 | 350 | 0.0025 | 1.0 | 1.0 | 1.0 |
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| No log | 11.0 | 385 | 0.0023 | 1.0 | 1.0 | 1.0 |
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| No log | 12.0 | 420 | 0.0021 | 1.0 | 1.0 | 1.0 |
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| No log | 13.0 | 455 | 0.0020 | 1.0 | 1.0 | 1.0 |
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| No log | 14.0 | 490 | 0.0020 | 1.0 | 1.0 | 1.0 |
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| 0.0393 | 15.0 | 525 | 0.0020 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"
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],
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"attention_probs_dropout_prob": 0.1,
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"
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"block_size": 64,
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"bos_token_id": 5,
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"classifier_dropout": null,
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"eos_token_id":
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"gradient_checkpointing": false,
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"hidden_act": "
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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": "Normal",
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"1": "Service"
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"2": "Token"
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Normal": 0,
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"Service": 1
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"Token": 2
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},
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"layer_norm_eps": 1e-
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"max_position_embeddings":
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"model_type": "
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "multi_label_classification",
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"rescale_embeddings": false,
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"sep_token_id": 3,
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"tokenizer_class": "BertTokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.42.3",
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"type_vocab_size":
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"use_bias": true,
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"use_cache": true,
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"vocab_size":
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}
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{
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"_name_or_path": "klue/roberta-base",
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"architectures": [
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"RobertaForSequenceClassification"
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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_id": 2,
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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": "Normal",
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"1": "Service"
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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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"Normal": 0,
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"Service": 1
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "multi_label_classification",
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"tokenizer_class": "BertTokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.42.3",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 32000
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}
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model.safetensors
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runs/Sep27_09-13-59_129-146-79-76/events.out.tfevents.1727428440.129-146-79-76.1534557.0
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runs/Sep27_09-13-59_129-146-79-76/events.out.tfevents.1727428877.129-146-79-76.1534557.1
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special_tokens_map.json
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{
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"bos_token": {
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"content": "
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"lstrip": false,
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"rstrip": false,
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"single_word": false
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"eos_token": {
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"single_word": false
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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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"special": true
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"content": "[
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"lstrip": false,
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"special": true
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"bos_token": "[CLS]",
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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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"model_max_length": 512,
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training_args.bin
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size 5112
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vocab.txt
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