Upload TFDistilBertForSequenceClassification

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-cased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: distilbert-base-cased-finetuned-concept-classification-title-abstract
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# distilbert-base-cased-finetuned-concept-classification-title-abstract
+
+This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 2.8565
+- Validation Loss: 3.2441
+- Train Accuracy: 0.4598
+- Epoch: 9
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- 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': 2e-05, 'decay_steps': 167960, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train Accuracy | Epoch |
+|:----------:|:---------------:|:--------------:|:-----:|
+| 5.2222     | 3.9668          | 0.3397         | 0     |
+| 3.8730     | 3.5696          | 0.4003         | 1     |
+| 3.5292     | 3.4159          | 0.4255         | 2     |
+| 3.3343     | 3.3431          | 0.4383         | 3     |
+| 3.1978     | 3.2940          | 0.4470         | 4     |
+| 3.0928     | 3.2639          | 0.4521         | 5     |
+| 3.0089     | 3.2509          | 0.4557         | 6     |
+| 2.9438     | 3.2432          | 0.4578         | 7     |
+| 2.8928     | 3.2416          | 0.4593         | 8     |
+| 2.8565     | 3.2441          | 0.4598         | 9     |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- TensorFlow 2.13.0
+- Datasets 2.15.0
+- Tokenizers 0.15.0

tf_model.h5

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