Training in progress epoch 0
Browse files- README.md +5 -15
- config.json +2 -2
- tf_model.h5 +1 -1
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 Accuracy: 0.6692
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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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'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 Accuracy | Epoch |
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| 0.6098 | 0.5816 | 0.6692 | 1 |
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| 0.5679 | 0.5477 | 0.6692 | 2 |
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| 0.5500 | 0.5217 | 0.6692 | 3 |
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| 0.5239 | 0.5053 | 0.6692 | 4 |
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| 0.5196 | 0.5053 | 0.6692 | 6 |
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| 0.5152 | 0.5053 | 0.6692 | 7 |
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| 0.5142 | 0.5053 | 0.6692 | 8 |
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| 0.5189 | 0.5053 | 0.6692 | 9 |
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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: 0.6748
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- Validation Loss: 0.6426
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- Train Accuracy: 0.6692
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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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 80, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, '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 Accuracy | Epoch |
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|:----------:|:---------------:|:--------------:|:-----:|
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| 0.6748 | 0.6426 | 0.6692 | 0 |
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### Framework versions
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config.json
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"hidden_dim": 3072,
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"id2label": {
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"0": "CRITICISM",
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"1": "
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},
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"initializer_range": 0.02,
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"label2id": {
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"CRITICISM": 0,
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"
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"hidden_dim": 3072,
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"id2label": {
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"0": "CRITICISM",
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"1": "OTHER"
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},
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"initializer_range": 0.02,
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"label2id": {
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"CRITICISM": 0,
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"OTHER": 1
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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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oid sha256:
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size 267951808
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version https://git-lfs.github.com/spec/v1
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oid sha256:f5ad5a276341eb21c409db041dd9de4f652d0b3fe5a476598e3963f533c0b489
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size 267951808
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