end
Browse files- README.md +8 -11
- config.json +4 -4
- tf_model.h5 +2 -2
README.md
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@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) 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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- Train Accuracy: 0.
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- Validation Loss: 0.
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- Validation 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', '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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps':
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- training_precision: float32
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### Training results
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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| 0.6962 | 0.4976 | 0.6910 | 0.5634 | 2 |
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| 0.6941 | 0.4929 | 0.6920 | 0.5634 | 3 |
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| 0.6930 | 0.4992 | 0.6942 | 0.5634 | 4 |
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0530
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- Train Accuracy: 0.9818
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- Validation Loss: 0.3083
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- Validation Accuracy: 0.8876
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- Epoch: 1
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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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 16838, 'end_learning_rate': 0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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| 0.1150 | 0.9609 | 0.3167 | 0.8888 | 0 |
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| 0.0530 | 0.9818 | 0.3083 | 0.8876 | 1 |
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### Framework versions
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config.json
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"finetuning_task": "sst-2",
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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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},
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"initializer_range": 0.02,
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"label2id": {
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"
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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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"finetuning_task": "sst-2",
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"hidden_dim": 3072,
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"id2label": {
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"0": "NEGATIVE",
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"1": "POSITIVE"
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},
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"initializer_range": 0.02,
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"label2id": {
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"NEGATIVE": 0,
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"POSITIVE": 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
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f651b5961a1b91f59b5fde3325c19c84d85f13fa455c6ae84e4b857514e247c
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size 267955144
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