add model

README.md

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+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: distilbert_final_0010
+  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_final_0010
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.9257
+- Validation Loss: 0.9120
+- 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 0.9319     | 0.9178          | 0     |
+| 0.9310     | 0.9167          | 1     |
+| 0.9301     | 0.9170          | 2     |
+| 0.9300     | 0.9161          | 3     |
+| 0.9295     | 0.9157          | 4     |
+| 0.9294     | 0.9153          | 5     |
+| 0.9274     | 0.9122          | 6     |
+| 0.9267     | 0.9139          | 7     |
+| 0.9261     | 0.9139          | 8     |
+| 0.9257     | 0.9120          | 9     |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- TensorFlow 2.8.2
+- Datasets 2.3.2
+- Tokenizers 0.12.1

config.json

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+{
+  "_name_or_path": "/content/drive/MyDrive/Colab Notebooks/oscar/trybackup_distilbert/new_backup_001515",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForMaskedLM"
+  ],
+  "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,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.20.1",
+  "vocab_size": 27672
+}

tf_model.h5

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+oid sha256:ba234d88796dd192003cda8adb31e127983e1f529193237a53da8c5f782cc6c9
+size 345901880