Training in progress epoch 0
Browse files- README.md +9 -14
- config.json +16 -40
- tf_model.h5 +2 -2
README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Validation Loss: 0.
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- Train Precision: 0.
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- Train Recall: 0.
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- Train F1: 0.
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- Train Accuracy: 0.
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- Epoch:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'Adam', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps':
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.5545 | 0.5812 | 0.6124 | 0.5624 | 0.5743 | 0.8489 | 1 |
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| 0.3958 | 0.5655 | 0.6173 | 0.5757 | 0.5845 | 0.8503 | 2 |
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| 0.3047 | 0.5495 | 0.6099 | 0.5855 | 0.5937 | 0.8523 | 3 |
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| 0.2500 | 0.5477 | 0.5943 | 0.6009 | 0.5963 | 0.8552 | 4 |
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| 0.2344 | 0.5477 | 0.5943 | 0.6009 | 0.5963 | 0.8552 | 5 |
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.8177
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- Validation Loss: 0.4723
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- Train Precision: 0.8407
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- Train Recall: 0.7879
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- Train F1: 0.7948
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- Train Accuracy: 0.8575
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- Epoch: 0
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'Adam', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2565, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.8177 | 0.4723 | 0.8407 | 0.7879 | 0.7948 | 0.8575 | 0 |
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### Framework versions
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config.json
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "
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"1": "
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"2": "
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"3": "
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"4": "
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"5": "
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"6": "
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"7": "
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"8": "Poverty",
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"9": "Children Education and Skills (Post-16)",
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"10": "Environment",
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"11": "census_accounts",
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"12": "Health and Social Care",
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"13": "Housing Planning and Local Services",
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"14": "Statistical Literacy",
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"15": "accounts",
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"16": "Children",
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"17": "NI Health",
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"18": "Ukraine",
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"19": "Labour Market and Welfare"
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},
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"initializer_range": 0.02,
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"label2id": {
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"Children":
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"Environment":
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"Gaps": 2,
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"Health and Social Care": 12,
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"Housing Planning and Local Services": 13,
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"Labour Market and Welfare": 19,
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"NI Health": 17,
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"Population and Society": 0,
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"Poverty": 8,
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"Statistical Literacy": 14,
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"Transport": 6,
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"Ukraine": 18,
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"accounts": 15,
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"census_accounts": 11
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "Children, Education and Skills",
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"1": "Health and Social Care",
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"2": "Crime and Security",
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"3": "Economy",
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"4": "Housing, Planning and Local Services",
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"5": "Labour Market and Welfare",
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"6": "Population and Society",
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"7": "Transport, Environment and Climate Change"
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},
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"initializer_range": 0.02,
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"label2id": {
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"Children, Education and Skills": 0,
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"Crime and Security": 2,
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"Economy": 3,
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"Health and Social Care": 1,
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"Housing, Planning and Local Services": 4,
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"Labour Market and Welfare": 5,
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"Population and Society": 6,
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"Transport, Environment and Climate Change": 7
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 267970240
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