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djsull/binary_every_exp

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README.md CHANGED
@@ -1,5 +1,5 @@
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  ---
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- base_model: klue/roberta-large
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -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-large](https://huggingface.co/klue/roberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0005
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  - Precision: 1.0
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  - Recall: 1.0
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  - F1: 1.0
@@ -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 | 0.0020 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 2.0 | 38 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 3.0 | 57 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 4.0 | 76 | 0.0076 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 5.0 | 95 | 0.1695 | 0.9375 | 1.0 | 0.9677 | 0.98 |
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- | No log | 6.0 | 114 | 0.1624 | 0.9375 | 1.0 | 0.9677 | 0.98 |
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- | No log | 7.0 | 133 | 0.0406 | 0.9375 | 1.0 | 0.9677 | 0.98 |
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- | No log | 8.0 | 152 | 0.0033 | 1.0 | 1.0 | 1.0 | 1.0 |
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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
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "klue/roberta-large",
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  "architectures": [
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  "RobertaForSequenceClassification"
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  ],
@@ -10,13 +10,13 @@
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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": 1024,
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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": 4096,
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  "label2id": {
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  "None": 0,
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  "Profile": 1
@@ -24,8 +24,8 @@
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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": 16,
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- "num_hidden_layers": 24,
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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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