Training complete

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: mrm8488/electricidad-base-discriminator
+base_model: dccuchile/albert-base-spanish
 tags:
 - classification
 - generated_from_trainer
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # clasificador-muchocine
 
-This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
+This model is a fine-tuned version of [dccuchile/albert-base-spanish](https://huggingface.co/dccuchile/albert-base-spanish) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4120
-- Accuracy: 0.4516
+- Loss: 1.2835
+- Accuracy: 0.4568
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 388  | 1.3172          | 0.4013   |
-| 1.3874        | 2.0   | 776  | 1.3129          | 0.4258   |
-| 0.9758        | 3.0   | 1164 | 1.4120          | 0.4516   |
+| No log        | 1.0   | 388  | 1.3371          | 0.4284   |
+| 1.4336        | 2.0   | 776  | 1.2459          | 0.4503   |
+| 1.0895        | 3.0   | 1164 | 1.2835          | 0.4568   |
 
 
 ### Framework versions

config.json

@@ -1,13 +1,17 @@
 {
-  "_name_or_path": "mrm8488/electricidad-base-discriminator",
+  "_name_or_path": "dccuchile/albert-base-spanish",
   "architectures": [
-    "ElectraForSequenceClassification"
+    "AlbertForSequenceClassification"
   ],
-  "attention_probs_dropout_prob": 0.1,
-  "classifier_dropout": null,
-  "embedding_size": 768,
+  "attention_probs_dropout_prob": 0,
+  "bos_token_id": 2,
+  "classifier_dropout_prob": 0.1,
+  "down_scale_factor": 1,
+  "embedding_size": 128,
+  "eos_token_id": 3,
+  "gap_size": 0,
   "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.1,
+  "hidden_dropout_prob": 0,
   "hidden_size": 768,
   "id2label": {
     "0": "LABEL_0",
@@ -17,6 +21,7 @@
     "4": "LABEL_4"
   },
   "initializer_range": 0.02,
+  "inner_group_num": 1,
   "intermediate_size": 3072,
   "label2id": {
     "LABEL_0": 0,
@@ -27,19 +32,17 @@
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
-  "model_type": "electra",
+  "model_type": "albert",
+  "net_structure_type": 0,
   "num_attention_heads": 12,
+  "num_hidden_groups": 1,
   "num_hidden_layers": 12,
+  "num_memory_blocks": 0,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
-  "summary_activation": "gelu",
-  "summary_last_dropout": 0.1,
-  "summary_type": "first",
-  "summary_use_proj": true,
   "torch_dtype": "float32",
   "transformers_version": "4.35.2",
   "type_vocab_size": 2,
-  "use_cache": true,
-  "vocab_size": 31002
+  "vocab_size": 31000
 }

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:c31734a15b071a087c026ffda30518aa4cf4af0793fc53b2c0d2294056037b60
-size 439443036
+oid sha256:b6c6b504f249e5ac193bc36937eb1ebb4c7839b755d85716a4deecfce4b2e920
+size 47265140

special_tokens_map.json

@@ -1,7 +1,15 @@
 {
+  "bos_token": "[CLS]",
   "cls_token": "[CLS]",
-  "mask_token": "[MASK]",
-  "pad_token": "[PAD]",
+  "eos_token": "[SEP]",
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
   "sep_token": "[SEP]",
-  "unk_token": "[UNK]"
+  "unk_token": "<unk>"
 }

spiece.model

@@ -0,0 +1,3 @@
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+oid sha256:28c98d44f2c8ba92d861c8705ca4386454387ac7070fb00e9cd934f401387656
+size 797897

tokenizer_config.json

@@ -1,7 +1,7 @@
 {
   "added_tokens_decoder": {
     "0": {
-      "content": "[MASK]",
+      "content": "<pad>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
@@ -9,49 +9,49 @@
       "special": true
     },
     "1": {
-      "content": "[PAD]",
+      "content": "<unk>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     },
-    "3": {
-      "content": "[UNK]",
+    "2": {
+      "content": "[CLS]",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     },
-    "4": {
-      "content": "[CLS]",
+    "3": {
+      "content": "[SEP]",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     },
-    "5": {
-      "content": "[SEP]",
-      "lstrip": false,
+    "4": {
+      "content": "[MASK]",
+      "lstrip": true,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     }
   },
+  "bos_token": "[CLS]",
   "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
-  "do_basic_tokenize": true,
   "do_lower_case": true,
+  "eos_token": "[SEP]",
+  "keep_accents": true,
   "mask_token": "[MASK]",
-  "model_max_length": 1000000000000000019884624838656,
-  "never_split": null,
-  "pad_token": "[PAD]",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "remove_space": true,
   "sep_token": "[SEP]",
-  "strip_accents": null,
-  "tokenize_chinese_chars": true,
-  "tokenizer_class": "ElectraTokenizer",
-  "unk_token": "[UNK]"
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
 }

training_args.bin

@@ -1,3 +1,3 @@
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 size 4600