add model

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: distilbert_oscarth_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_oscarth_0020
+
+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: 1.4909
+- Validation Loss: 1.4161
+- 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 |
+|:----------:|:---------------:|:-----:|
+| 4.1327     | 2.9983          | 0     |
+| 2.7813     | 2.4562          | 1     |
+| 2.4194     | 2.2066          | 2     |
+| 2.2231     | 2.0562          | 3     |
+| 2.0894     | 1.9450          | 4     |
+| 1.9905     | 1.8621          | 5     |
+| 1.9148     | 1.7941          | 6     |
+| 1.8508     | 1.7363          | 7     |
+| 1.7976     | 1.6909          | 8     |
+| 1.7509     | 1.6488          | 9     |
+| 1.7126     | 1.6124          | 10    |
+| 1.6764     | 1.5835          | 11    |
+| 1.6450     | 1.5521          | 12    |
+| 1.6175     | 1.5282          | 13    |
+| 1.5919     | 1.5045          | 14    |
+| 1.5679     | 1.4833          | 15    |
+| 1.5476     | 1.4627          | 16    |
+| 1.5271     | 1.4498          | 17    |
+| 1.5098     | 1.4270          | 18    |
+| 1.4909     | 1.4161          | 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": "distilbert-base-uncased",
+  "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 sha256:9c019aff3a7b68efd4a89763bb6cc4a703888df3277ddb0e207fc6be37d3456f
+size 431026784