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_resenas_de_vinos_2023_11_25_15_31
+ 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_resenas_de_vinos_2023_11_25_15_31
+
+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: 2.6461
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.9807 | 1.0 | 250 | 3.0434 |
+| 3.0811 | 2.0 | 500 | 3.1461 |
+| 2.7704 | 3.0 | 750 | 2.9649 |
+| 2.6821 | 4.0 | 1000 | 2.8179 |
+| 2.556 | 5.0 | 1250 | 2.6522 |
+| 2.3324 | 6.0 | 1500 | 2.7123 |
+| 2.3137 | 7.0 | 1750 | 2.5994 |
+| 2.2926 | 8.0 | 2000 | 2.6741 |
+| 2.1216 | 9.0 | 2250 | 2.6469 |
+| 2.0317 | 10.0 | 2500 | 2.6205 |
+| 2.0053 | 11.0 | 2750 | 2.4237 |
+| 2.0453 | 12.0 | 3000 | 2.5970 |
+| 1.9702 | 13.0 | 3250 | 2.4548 |
+| 1.9147 | 14.0 | 3500 | 2.4731 |
+| 1.9143 | 15.0 | 3750 | 2.4431 |
+| 1.7803 | 16.0 | 4000 | 2.4247 |
+| 1.7726 | 17.0 | 4250 | 2.5558 |
+| 1.7448 | 18.0 | 4500 | 2.5092 |
+| 1.7008 | 19.0 | 4750 | 2.4883 |
+| 1.769 | 20.0 | 5000 | 2.4471 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

@@ -0,0 +1,27 @@
+{
+ "_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": "4.35.2",
+ "type_vocab_size": 2,
+ "use_cache": true,
+ "vocab_size": 31002
+}

generation_config.json

@@ -0,0 +1,5 @@
+{
+ "_from_model_config": true,
+ "pad_token_id": 1,
+ "transformers_version": "4.35.2"
+}

model.safetensors

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+oid sha256:c99c5dfa26b8789adf8641e89ef52fa885cccc1bdf5eee958ea103183bc6ea85
+size 439557376

special_tokens_map.json

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+{
+ "cls_token": {
+ "content": "[CLS]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ },
+ "mask_token": {
+ "content": "[MASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ },
+ "pad_token": {
+ "content": "[PAD]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ },
+ "sep_token": {
+ "content": "[SEP]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ },
+ "unk_token": {
+ "content": "[UNK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ }
+}

tokenizer_config.json

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+{
+ "TOKENIZERS_PARALLELISM": false,
+ "added_tokens_decoder": {
+ "0": {
+ "content": "[MASK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "1": {
+ "content": "[PAD]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "3": {
+ "content": "[UNK]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "4": {
+ "content": "[CLS]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ },
+ "5": {
+ "content": "[SEP]",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ }
+ },
+ "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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+version https://git-lfs.github.com/spec/v1
+oid sha256:39059df427cfee1fbb5bbbcc271af2009b1a0e4fb3be71eeee77a4539a5f48d4
+size 4600