End of training

README.md

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+---
+base_model: dccuchile/bert-base-spanish-wwm-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: final-ft__bert-base-spanish-wwm-cased__70k-ultrasounds
+  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. -->
+
+# final-ft__bert-base-spanish-wwm-cased__70k-ultrasounds
+
+This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5227
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 276  | 0.9156          |
+| No log        | 2.0   | 552  | 0.7658          |
+| No log        | 3.0   | 828  | 0.7083          |
+| 0.9708        | 4.0   | 1104 | 0.6710          |
+| 0.9708        | 5.0   | 1380 | 0.6380          |
+| 0.9708        | 6.0   | 1656 | 0.6119          |
+| 0.9708        | 7.0   | 1932 | 0.6025          |
+| 0.6612        | 8.0   | 2208 | 0.5752          |
+| 0.6612        | 9.0   | 2484 | 0.5708          |
+| 0.6612        | 10.0  | 2760 | 0.5680          |
+| 0.6612        | 11.0  | 3036 | 0.5425          |
+| 0.6013        | 12.0  | 3312 | 0.5635          |
+| 0.6013        | 13.0  | 3588 | 0.5386          |
+| 0.6013        | 14.0  | 3864 | 0.5476          |
+| 0.6013        | 15.0  | 4140 | 0.5458          |
+| 0.5675        | 16.0  | 4416 | 0.5345          |
+| 0.5675        | 17.0  | 4692 | 0.5350          |
+| 0.5675        | 18.0  | 4968 | 0.5280          |
+| 0.5675        | 19.0  | 5244 | 0.5260          |
+| 0.5549        | 20.0  | 5520 | 0.5227          |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "dccuchile/bert-base-spanish-wwm-cased",
+  "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": "4.40.1",
+  "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": "4.40.1"
+}

model.safetensors

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+size 439557376

runs/May01_21-33-11_e03865e8ff1d/events.out.tfevents.1714599363.e03865e8ff1d.641.0

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special_tokens_map.json

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+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
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+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
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+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
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+      "special": true
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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "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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