add model

README.md

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+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: distilbert_new2_0020
+  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_new2_0020
+
+This model is a fine-tuned version of [/content/drive/MyDrive/Colab Notebooks/oscar/trybackup_distilbert/new_backup_0105105](https://huggingface.co//content/drive/MyDrive/Colab Notebooks/oscar/trybackup_distilbert/new_backup_0105105) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.9920
+- Validation Loss: 0.9688
+- Epoch: 19
+
+## 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 |
+|:----------:|:---------------:|:-----:|
+| 1.0180     | 0.9873          | 0     |
+| 1.0163     | 0.9878          | 1     |
+| 1.0145     | 0.9856          | 2     |
+| 1.0139     | 0.9830          | 3     |
+| 1.0122     | 0.9831          | 4     |
+| 1.0118     | 0.9830          | 5     |
+| 1.0094     | 0.9800          | 6     |
+| 1.0075     | 0.9809          | 7     |
+| 1.0066     | 0.9784          | 8     |
+| 1.0062     | 0.9768          | 9     |
+| 1.0032     | 0.9751          | 10    |
+| 1.0023     | 0.9764          | 11    |
+| 1.0008     | 0.9735          | 12    |
+| 0.9994     | 0.9730          | 13    |
+| 0.9986     | 0.9761          | 14    |
+| 0.9975     | 0.9714          | 15    |
+| 0.9953     | 0.9708          | 16    |
+| 0.9941     | 0.9683          | 17    |
+| 0.9933     | 0.9681          | 18    |
+| 0.9920     | 0.9688          | 19    |
+
+
+### 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_0105105",
+  "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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+version https://git-lfs.github.com/spec/v1
+oid sha256:b46b097d4f4681b84e398c5b93a9a7a5c6938f181373869ada6db0a7dadbbdb7
+size 345901880