Upload TFDistilBertForSequenceClassification

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: Regression_bert_aug_CustomLoss_3
+  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_bert_aug_CustomLoss_3
+
+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: 0.1282
+- Train Mae: 0.3851
+- Train Mse: 0.1862
+- Train R2-score: 0.7249
+- Validation Loss: 0.1246
+- Validation Mae: 0.3798
+- Validation Mse: 0.1857
+- Validation R2-score: 0.8337
+- Epoch: 14
+
+## 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': 1e-04, '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 R2-score | Validation Loss | Validation Mae | Validation Mse | Validation R2-score | Epoch |
+|:----------:|:---------:|:---------:|:--------------:|:---------------:|:--------------:|:--------------:|:-------------------:|:-----:|
+| 0.1451     | 0.4188    | 0.2732    | 0.8063         | 0.0642          | 0.3529         | 0.1994         | 0.8824              | 0     |
+| 0.0567     | 0.3078    | 0.1428    | 0.7511         | 0.0452          | 0.3038         | 0.1257         | 0.8820              | 1     |
+| 0.0380     | 0.2662    | 0.1007    | 0.8889         | 0.0661          | 0.2984         | 0.1442         | 0.8883              | 2     |
+| 0.0363     | 0.2542    | 0.0980    | 0.8034         | 0.0318          | 0.2567         | 0.0978         | 0.9117              | 3     |
+| 0.0279     | 0.2257    | 0.0714    | 0.9002         | 0.0327          | 0.2305         | 0.0793         | 0.8920              | 4     |
+| 0.0241     | 0.2046    | 0.0593    | 0.8695         | 0.0306          | 0.2353         | 0.0813         | 0.9330              | 5     |
+| 0.0230     | 0.1960    | 0.0540    | 0.8762         | 0.0284          | 0.2160         | 0.0710         | 0.9197              | 6     |
+| 0.0223     | 0.1914    | 0.0510    | 0.9366         | 0.0285          | 0.2251         | 0.0791         | 0.9282              | 7     |
+| 0.0223     | 0.1923    | 0.0516    | 0.9498         | 0.0306          | 0.2042         | 0.0748         | 0.9309              | 8     |
+| 0.0231     | 0.1827    | 0.0493    | 0.8516         | 0.0302          | 0.2009         | 0.0682         | 0.9198              | 9     |
+| 0.0335     | 0.1794    | 0.0576    | 0.9259         | 0.0765          | 0.3684         | 0.2192         | 0.8243              | 10    |
+| 0.1380     | 0.3960    | 0.2567    | 0.8748         | 0.1037          | 0.4172         | 0.2244         | 0.6992              | 11    |
+| 0.1078     | 0.4071    | 0.2170    | 0.8256         | 0.1219          | 0.4020         | 0.2234         | 0.7304              | 12    |
+| 0.1217     | 0.3807    | 0.2060    | 0.8084         | 0.1434          | 0.3934         | 0.2113         | 0.8317              | 13    |
+| 0.1282     | 0.3851    | 0.1862    | 0.7249         | 0.1246          | 0.3798         | 0.1857         | 0.8337              | 14    |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- TensorFlow 2.12.0
+- Datasets 2.12.0
+- Tokenizers 0.13.3

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,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "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": "4.28.1",
+  "vocab_size": 30522
+}

tf_model.h5

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+oid sha256:78f4c43412aaac94f1bcd41b5f1069829ff2acc45dee9cafdff8984673be675e
+size 267952072