End of training

README.md

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+---
+base_model: dccuchile/bert-base-spanish-wwm-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert_adaptation_referencias_de_vinos
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bert_adaptation_referencias_de_vinos
+
+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:
+- Loss: 1.7296
+
+## 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:
+- learning_rate: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 3.06          | 1.0   | 750   | 2.4974          |
+| 2.4463        | 2.0   | 1500  | 2.3140          |
+| 2.2515        | 3.0   | 2250  | 2.1646          |
+| 2.0962        | 4.0   | 3000  | 2.0073          |
+| 2.0126        | 5.0   | 3750  | 2.0552          |
+| 1.9271        | 6.0   | 4500  | 1.9176          |
+| 1.8427        | 7.0   | 5250  | 1.8497          |
+| 1.8009        | 8.0   | 6000  | 1.8579          |
+| 1.7596        | 9.0   | 6750  | 1.8501          |
+| 1.7049        | 10.0  | 7500  | 1.8178          |
+| 1.6992        | 11.0  | 8250  | 1.7969          |
+| 1.67          | 12.0  | 9000  | 1.8254          |
+| 1.6272        | 13.0  | 9750  | 1.7340          |
+| 1.6192        | 14.0  | 10500 | 1.7664          |
+| 1.6209        | 15.0  | 11250 | 1.7281          |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "dccuchile/bert-base-spanish-wwm-uncased",
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31002
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 1,
+  "transformers_version": "4.33.1"
+}

pytorch_model.bin

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+size 439602613

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "TOKENIZERS_PARALLELISM": false,
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": false,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+oid sha256:60cd9a8ef5b69b6ddfc83a4cb5214641208b1ab14cc8e9bc1b660ee5673fcf94
+size 4091