add model

README.md

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+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: beto_amazon_final_posneg
+  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_amazon_final_posneg
+
+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: 0.1429
+- Train Accuracy: 0.9510
+- Validation Loss: 0.2942
+- Validation Accuracy: 0.8913
+- 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': '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 |
+|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 0.6474     | 0.6545         | 0.5618          | 0.7893              | 0     |
+| 0.4576     | 0.8360         | 0.3672          | 0.8560              | 1     |
+| 0.3088     | 0.8925         | 0.3096          | 0.8752              | 2     |
+| 0.2529     | 0.9028         | 0.2888          | 0.8855              | 3     |
+| 0.2177     | 0.9168         | 0.2876          | 0.8865              | 4     |
+| 0.1973     | 0.9280         | 0.2921          | 0.8865              | 5     |
+| 0.1792     | 0.9373         | 0.2844          | 0.8903              | 6     |
+| 0.1686     | 0.9423         | 0.2859          | 0.8898              | 7     |
+| 0.1525     | 0.9480         | 0.2884          | 0.8917              | 8     |
+| 0.1429     | 0.9510         | 0.2942          | 0.8913              | 9     |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- TensorFlow 2.8.0
+- Datasets 1.18.3
+- 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": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.5,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "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:a602986d0e7621851afa911e76d8e42d0d01bebb4d7790463d055a36e2b6f84b
+size 439697752