add model

README.md

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+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: beto_stars
+  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. -->
+
+# beto_stars
+
+This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.8954
+- Train Accuracy: 0.6248
+- Validation Loss: 1.1278
+- Validation Accuracy: 0.5148
+- 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', 'learning_rate': 5e-07, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 1.5935     | 0.2626         | 1.5553          | 0.3482              | 0     |
+| 1.5072     | 0.3782         | 1.4289          | 0.4188              | 1     |
+| 1.3590     | 0.4312         | 1.2929          | 0.4406              | 2     |
+| 1.2463     | 0.4628         | 1.2197          | 0.4682              | 3     |
+| 1.1754     | 0.4970         | 1.1785          | 0.4830              | 4     |
+| 1.1299     | 0.5114         | 1.1533          | 0.4908              | 5     |
+| 1.0847     | 0.5362         | 1.1398          | 0.5006              | 6     |
+| 1.0492     | 0.5440         | 1.1273          | 0.5046              | 7     |
+| 1.0278     | 0.5592         | 1.1237          | 0.5034              | 8     |
+| 1.0031     | 0.5690         | 1.1171          | 0.5118              | 9     |
+| 0.9798     | 0.5712         | 1.1163          | 0.5120              | 10    |
+| 0.9598     | 0.5894         | 1.1180          | 0.5114              | 11    |
+| 0.9406     | 0.5964         | 1.1219          | 0.5122              | 12    |
+| 0.9178     | 0.6104         | 1.1269          | 0.5150              | 13    |
+| 0.8954     | 0.6248         | 1.1278          | 0.5148              | 14    |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- TensorFlow 2.8.0
+- Datasets 1.18.4
+- Tokenizers 0.11.6

config.json

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+{
+  "_name_or_path": "dccuchile/bert-base-spanish-wwm-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.5,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.5,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.17.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31002
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dbb6532949b96a8da8ba103bd2e8cfaf9951fb2e79261eacb41cf53d0ac7f693
+size 439706980