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Training in progress epoch 0

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  1. README.md +6 -10
  2. config.json +6 -4
  3. tf_model.h5 +2 -2
README.md CHANGED
@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
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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: 0.0326
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- - Validation Loss: 0.1808
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- - Train Accuracy: 0.9457
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- - Epoch: 4
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  ## Model description
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@@ -36,18 +36,14 @@ More information needed
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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': 255, '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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- | 0.2968 | 0.2450 | 0.8804 | 0 |
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- | 0.1445 | 0.1938 | 0.9457 | 1 |
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- | 0.0745 | 0.1773 | 0.9348 | 2 |
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- | 0.0491 | 0.1836 | 0.9457 | 3 |
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- | 0.0326 | 0.1808 | 0.9457 | 4 |
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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: 0.5194
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+ - Validation Loss: 0.2501
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+ - Train Accuracy: 0.9310
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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': 565, '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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+ | 0.5194 | 0.2501 | 0.9310 | 0 |
 
 
 
 
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  ### Framework versions
config.json CHANGED
@@ -9,13 +9,15 @@
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  "dropout": 0.1,
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  "hidden_dim": 3072,
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  "id2label": {
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- "0": "NO",
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- "1": "YES"
 
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  },
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  "initializer_range": 0.02,
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  "label2id": {
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- "NO": 0,
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- "YES": 1
 
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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": "No Problem Was Found",
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+ "1": "Missing Follow-up",
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+ "2": "Summary or Status Not Clear"
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  },
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  "initializer_range": 0.02,
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  "label2id": {
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+ "Missing Follow-up": 1,
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+ "No Problem Was Found": 0,
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+ "Summary or Status Not Clear": 2
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  },
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  "max_position_embeddings": 512,
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  "model_type": "distilbert",
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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