Upload TFDistilBertForMaskedLM

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: bert-salvadoran-news
+  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. -->
+
+# bert-salvadoran-news
+
+This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 1.4210
+- Validation Loss: 1.5456
+- 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 |
+|:----------:|:---------------:|:-----:|
+| 2.1106     | 1.9331          | 0     |
+| 1.9666     | 1.7924          | 1     |
+| 1.8643     | 1.7777          | 2     |
+| 1.8090     | 1.7018          | 3     |
+| 1.7668     | 1.7372          | 4     |
+| 1.7337     | 1.6726          | 5     |
+| 1.6948     | 1.6624          | 6     |
+| 1.6584     | 1.6863          | 7     |
+| 1.6232     | 1.6174          | 8     |
+| 1.5996     | 1.6399          | 9     |
+| 1.5805     | 1.5340          | 10    |
+| 1.5622     | 1.6202          | 11    |
+| 1.5124     | 1.6176          | 12    |
+| 1.5150     | 1.5644          | 13    |
+| 1.5151     | 1.6002          | 14    |
+| 1.4730     | 1.5746          | 15    |
+| 1.4538     | 1.5536          | 16    |
+| 1.4507     | 1.5537          | 17    |
+| 1.4476     | 1.5450          | 18    |
+| 1.4210     | 1.5456          | 19    |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- TensorFlow 2.9.2
+- Datasets 2.7.1
+- Tokenizers 0.13.2

config.json

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+{
+  "_name_or_path": "distilbert-base-multilingual-cased",
+  "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,
+  "output_past": true,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.24.0",
+  "vocab_size": 119547
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ee1e977b283a62cc7704c9a18e46a6d525a7073131354f791e82067dc9b643d5
+size 910749380