Upload TFDistilBertForSequenceClassification

README.md

@@ -1,65 +1,64 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: distilbert-base-uncased
-tags:
-- generated_from_keras_callback
-model-index:
-- name: tl-test-learn-prompt-classifier
-  results: []
-datasets:
-- reddgr/tl-test-learn-prompts
----
-
-<!-- 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. -->
-
-# tl-test-learn-prompt-classifier
-
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Train Loss: 0.1733
-- Train Accuracy: 0.9756
-- Validation Loss: 0.3006
-- Validation Accuracy: 0.8977
-- Epoch: 6
-
-## 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': False, 'is_legacy_optimizer': False, 'learning_rate': 5e-06, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
-- training_precision: float32
-
-### Training results
-
-| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
-|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.6870     | 0.5707         | 0.6656          | 0.6136              | 0     |
-| 0.6542     | 0.6293         | 0.6289          | 0.6477              | 1     |
-| 0.5970     | 0.7902         | 0.5541          | 0.7955              | 2     |
-| 0.4936     | 0.8829         | 0.4490          | 0.8523              | 3     |
-| 0.3649     | 0.9415         | 0.3775          | 0.875               | 4     |
-| 0.2563     | 0.9561         | 0.3254          | 0.8977              | 5     |
-| 0.1733     | 0.9756         | 0.3006          | 0.8977              | 6     |
-
-
-### Framework versions
-
-- Transformers 4.44.2
-- TensorFlow 2.18.0-dev20240717
-- Datasets 2.21.0
-- Tokenizers 0.19.1
+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: tl-test-learn-prompt-classifier
+  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. -->
+
+# tl-test-learn-prompt-classifier
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.1146
+- Train Accuracy: 0.9871
+- Validation Loss: 0.3037
+- Validation Accuracy: 0.8600
+- Epoch: 7
+
+## 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': False, 'is_legacy_optimizer': False, 'learning_rate': 5e-06, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 0.6898     | 0.5431         | 0.6834          | 0.5300              | 0     |
+| 0.6735     | 0.5517         | 0.6590          | 0.5800              | 1     |
+| 0.6284     | 0.7112         | 0.5814          | 0.8700              | 2     |
+| 0.5261     | 0.8707         | 0.4635          | 0.8400              | 3     |
+| 0.3826     | 0.9310         | 0.3632          | 0.8400              | 4     |
+| 0.2473     | 0.9569         | 0.3114          | 0.8500              | 5     |
+| 0.1700     | 0.9741         | 0.2882          | 0.8700              | 6     |
+| 0.1146     | 0.9871         | 0.3037          | 0.8600              | 7     |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- TensorFlow 2.18.0-dev20240717
+- Datasets 2.21.0
+- Tokenizers 0.19.1

tf_model.h5

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