Upload TFDistilBertForSequenceClassification

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: Regression_bert_aug_CustomLoss_2
+  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_2
+
+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: 0.2338
+- Train Mae: 0.5263
+- Train Mse: 0.4258
+- Train R2-score: 0.7899
+- Validation Loss: 0.2340
+- Validation Mae: 0.5490
+- Validation Mse: 0.4329
+- Validation R2-score: 0.7254
+- 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 |
+|:----------:|:---------:|:---------:|:--------------:|:---------------:|:--------------:|:--------------:|:-------------------:|:-----:|
+| 0.2004     | 0.4982    | 0.3687    | 0.6907         | 0.1488          | 0.4239         | 0.3023         | 0.7428              | 0     |
+| 0.1118     | 0.4054    | 0.2460    | 0.7552         | 0.0783          | 0.3502         | 0.1873         | 0.8501              | 1     |
+| 0.0531     | 0.3256    | 0.1543    | 0.8049         | 0.0489          | 0.3257         | 0.1489         | 0.8412              | 2     |
+| 0.0342     | 0.2826    | 0.1151    | 0.7986         | 0.0328          | 0.2697         | 0.1215         | 0.9246              | 3     |
+| 0.0266     | 0.2587    | 0.0962    | 0.8802         | 0.0713          | 0.2884         | 0.1297         | 0.8729              | 4     |
+| 0.0543     | 0.3022    | 0.1388    | 0.7724         | 0.0609          | 0.3238         | 0.1524         | 0.7723              | 5     |
+| 0.0380     | 0.2756    | 0.1114    | 0.8822         | 0.0421          | 0.1984         | 0.0700         | 0.9070              | 6     |
+| 0.0593     | 0.3134    | 0.1537    | 0.8764         | 0.2335          | 0.5183         | 0.4636         | 0.7816              | 7     |
+| 0.2330     | 0.5234    | 0.4182    | -1.5020        | 0.2656          | 0.5726         | 0.3948         | 0.5533              | 8     |
+| 0.2359     | 0.5149    | 0.4195    | 0.7932         | 0.2347          | 0.5263         | 0.4461         | 0.7502              | 9     |
+| 0.2341     | 0.5204    | 0.4268    | 0.8100         | 0.2341          | 0.5509         | 0.4307         | 0.7220              | 10    |
+| 0.2335     | 0.5250    | 0.4235    | 0.8053         | 0.2328          | 0.5433         | 0.4334         | 0.7322              | 11    |
+| 0.2319     | 0.5217    | 0.4244    | 0.7825         | 0.2352          | 0.5549         | 0.4296         | 0.7158              | 12    |
+| 0.2323     | 0.5243    | 0.4234    | 0.7877         | 0.2346          | 0.5536         | 0.4286         | 0.7170              | 13    |
+| 0.2338     | 0.5263    | 0.4258    | 0.7899         | 0.2340          | 0.5490         | 0.4329         | 0.7254              | 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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+size 267948736