Upload TFDistilBertForSequenceClassification

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: Regression_albert_5
+  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. -->
+
+# Regression_albert_5
+
+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: 0.1814
+- Train Mae: 0.2938
+- Train Mse: 0.1429
+- Train Accuracy: 0.6500
+- Validation Loss: 0.1964
+- Validation Mae: 0.3819
+- Validation Mse: 0.1952
+- Validation Accuracy: 0.5811
+- 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': 2e-06, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Mae | Train Mse | Train Accuracy | Validation Loss | Validation Mae | Validation Mse | Validation Accuracy | Epoch |
+|:----------:|:---------:|:---------:|:--------------:|:---------------:|:--------------:|:--------------:|:-------------------:|:-----:|
+| 1.1449     | 0.5862    | 0.4388    | 0.5115         | 0.3923          | 0.5808         | 0.3920         | 0.3243              | 0     |
+| 0.3044     | 0.3674    | 0.2078    | 0.5654         | 0.2169          | 0.4102         | 0.2158         | 0.3243              | 1     |
+| 0.1775     | 0.2928    | 0.1414    | 0.6923         | 0.1833          | 0.3691         | 0.1819         | 0.6351              | 2     |
+| 0.1832     | 0.2879    | 0.1347    | 0.7269         | 0.1846          | 0.3672         | 0.1833         | 0.6486              | 3     |
+| 0.1642     | 0.2894    | 0.1411    | 0.7038         | 0.1930          | 0.3802         | 0.1917         | 0.3919              | 4     |
+| 0.1657     | 0.2888    | 0.1386    | 0.6615         | 0.1856          | 0.3711         | 0.1843         | 0.6081              | 5     |
+| 0.1787     | 0.2922    | 0.1425    | 0.6731         | 0.1960          | 0.3854         | 0.1947         | 0.4865              | 6     |
+| 0.1896     | 0.2842    | 0.1335    | 0.7231         | 0.1788          | 0.3646         | 0.1774         | 0.6351              | 7     |
+| 0.1712     | 0.2949    | 0.1465    | 0.6308         | 0.1876          | 0.3728         | 0.1863         | 0.5811              | 8     |
+| 0.1814     | 0.2938    | 0.1429    | 0.6500         | 0.1964          | 0.3819         | 0.1952         | 0.5811              | 9     |
+
+
+### Framework versions
+
+- Transformers 4.27.2
+- TensorFlow 2.11.0
+- Datasets 2.10.1
+- Tokenizers 0.13.2

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "regression",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.27.2",
+  "vocab_size": 30522
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0a6b2d9c094263fae89f3c8b904c17241e097a2ccb2dffa69197276e0229d973
+size 267951808