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Training complete

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Files changed (7) hide show
  1. README.md +8 -7
  2. config.json +10 -9
  3. model.safetensors +2 -2
  4. tokenizer.json +0 -0
  5. tokenizer_config.json +12 -14
  6. training_args.bin +1 -1
  7. vocab.txt +0 -0
README.md CHANGED
@@ -1,5 +1,6 @@
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  ---
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- base_model: mrm8488/electricidad-base-discriminator
 
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  tags:
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  - classification
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  - generated_from_trainer
@@ -15,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # clasificador-muchocine
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- This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4578
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- - Accuracy: 0.4452
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  ## Model description
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@@ -49,9 +50,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 388 | 1.3209 | 0.3935 |
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- | 1.3791 | 2.0 | 776 | 1.3147 | 0.4297 |
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- | 0.9521 | 3.0 | 1164 | 1.4578 | 0.4452 |
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  ### Framework versions
 
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  ---
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+ license: apache-2.0
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+ base_model: google-bert/bert-base-multilingual-cased
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  tags:
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  - classification
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  - generated_from_trainer
 
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  # clasificador-muchocine
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+ This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5252
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+ - Accuracy: 0.3355
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 388 | 1.5330 | 0.3355 |
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+ | 1.5357 | 2.0 | 776 | 1.5317 | 0.3355 |
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+ | 1.5245 | 3.0 | 1164 | 1.5252 | 0.3355 |
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  ### Framework versions
config.json CHANGED
@@ -1,11 +1,11 @@
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  {
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- "_name_or_path": "mrm8488/electricidad-base-discriminator",
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  "architectures": [
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- "ElectraForSequenceClassification"
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  ],
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  "attention_probs_dropout_prob": 0.1,
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  "classifier_dropout": null,
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- "embedding_size": 768,
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
@@ -27,19 +27,20 @@
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
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- "model_type": "electra",
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  "num_attention_heads": 12,
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  "num_hidden_layers": 12,
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  "pad_token_id": 0,
 
 
 
 
 
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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- "summary_activation": "gelu",
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- "summary_last_dropout": 0.1,
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- "summary_type": "first",
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- "summary_use_proj": true,
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  "torch_dtype": "float32",
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  "transformers_version": "4.40.2",
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  "type_vocab_size": 2,
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  "use_cache": true,
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- "vocab_size": 31002
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  }
 
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  {
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+ "_name_or_path": "google-bert/bert-base-multilingual-cased",
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  "architectures": [
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  ],
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  "attention_probs_dropout_prob": 0.1,
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  "classifier_dropout": null,
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
 
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
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+ "model_type": "bert",
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  "num_attention_heads": 12,
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  "num_hidden_layers": 12,
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  "pad_token_id": 0,
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+ "pooler_fc_size": 768,
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+ "pooler_type": "first_token_transform",
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
 
 
 
 
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  "torch_dtype": "float32",
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  "transformers_version": "4.40.2",
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  "type_vocab_size": 2,
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  "use_cache": true,
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+ "vocab_size": 119547
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  }
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tokenizer.json CHANGED
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tokenizer_config.json CHANGED
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vocab.txt CHANGED
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