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_martin_fierro
+  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_martin_fierro
+
+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: 3.3589
+
+## 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: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 5.7247        | 1.0   | 29   | 5.0114          |
+| 4.7766        | 2.0   | 58   | 4.5598          |
+| 4.3216        | 3.0   | 87   | 4.3656          |
+| 4.0132        | 4.0   | 116  | 4.5464          |
+| 3.8366        | 5.0   | 145  | 4.0157          |
+| 3.7597        | 6.0   | 174  | 3.8641          |
+| 3.6244        | 7.0   | 203  | 3.7634          |
+| 3.6043        | 8.0   | 232  | 3.9174          |
+| 3.4767        | 9.0   | 261  | 3.7874          |
+| 3.2991        | 10.0  | 290  | 3.8620          |
+| 3.3156        | 11.0  | 319  | 3.6171          |
+| 3.1485        | 12.0  | 348  | 3.7967          |
+| 3.0732        | 13.0  | 377  | 3.3494          |
+| 3.0403        | 14.0  | 406  | 3.6496          |
+| 2.9722        | 15.0  | 435  | 3.9632          |
+| 2.9535        | 16.0  | 464  | 3.4333          |
+| 2.9057        | 17.0  | 493  | 3.9740          |
+| 2.724         | 18.0  | 522  | 3.8314          |
+| 2.885         | 19.0  | 551  | 3.7820          |
+| 2.861         | 20.0  | 580  | 3.6939          |
+| 2.8194        | 21.0  | 609  | 3.9656          |
+| 2.7182        | 22.0  | 638  | 3.8121          |
+| 2.6446        | 23.0  | 667  | 3.8670          |
+| 2.6841        | 24.0  | 696  | 3.6597          |
+| 2.793         | 25.0  | 725  | 3.8053          |
+| 2.7631        | 26.0  | 754  | 4.1065          |
+| 2.5897        | 27.0  | 783  | 3.7100          |
+| 2.6229        | 28.0  | 812  | 3.7801          |
+| 2.6084        | 29.0  | 841  | 3.7222          |
+| 2.634         | 30.0  | 870  | 3.6621          |
+
+
+### 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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