djsull/binary_every_exp
Browse files
README.md
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---
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base_model: klue/roberta-
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tags:
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- generated_from_trainer
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metrics:
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@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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# binary_every_exp
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This model is a fine-tuned version of [klue/roberta-
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 1.0
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- Recall: 1.0
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- F1: 1.0
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@@ -54,14 +54,14 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 19 | 0.
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| No log | 2.0 | 38 | 0.
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| No log | 3.0 | 57 | 0.
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| No log | 4.0 | 76 | 0.
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| No log | 5.0 | 95 | 0.
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| No log | 6.0 | 114 | 0.
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| No log | 7.0 | 133 | 0.
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| No log | 8.0 | 152 | 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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# binary_every_exp
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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: 0.0015
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- Precision: 1.0
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- Recall: 1.0
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- F1: 1.0
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 19 | 0.1385 | 1.0 | 0.8947 | 0.9444 | 0.96 |
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| No log | 2.0 | 38 | 0.0739 | 0.95 | 1.0 | 0.9744 | 0.98 |
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| No log | 3.0 | 57 | 0.0321 | 0.95 | 1.0 | 0.9744 | 0.98 |
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| No log | 4.0 | 76 | 0.0655 | 0.95 | 1.0 | 0.9744 | 0.98 |
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| No log | 5.0 | 95 | 0.1008 | 0.95 | 1.0 | 0.9744 | 0.98 |
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| No log | 6.0 | 114 | 0.0113 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 7.0 | 133 | 0.0015 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 8.0 | 152 | 0.0017 | 1.0 | 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": "klue/roberta-
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"architectures": [
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"RobertaForSequenceClassification"
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],
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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":
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"id2label": {
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"0": "None",
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"1": "Profile"
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},
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"initializer_range": 0.02,
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"intermediate_size":
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"label2id": {
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"None": 0,
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"Profile": 1
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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":
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"num_hidden_layers":
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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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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"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": "None",
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"1": "Profile"
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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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"None": 0,
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"Profile": 1
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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": "single_label_classification",
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model.safetensors
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runs/Aug23_04-57-51_129-146-79-76/events.out.tfevents.1724389071.129-146-79-76.1777321.0
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training_args.bin
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