Training in progress, epoch 1

config.json

@@ -1,12 +1,11 @@
 {
-  "_name_or_path": "xlm-roberta-base",
+  "_name_or_path": "ProsusAI/finbert",
   "architectures": [
-    "XLMRobertaForSequenceClassification"
+    "BertForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
-  "bos_token_id": 0,
   "classifier_dropout": null,
-  "eos_token_id": 2,
+  "gradient_checkpointing": false,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
@@ -22,18 +21,17 @@
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     "POSITIVO": 1
   },
-  "layer_norm_eps": 1e-05,
-  "max_position_embeddings": 514,
-  "model_type": "xlm-roberta",
+  "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,
+  "pad_token_id": 0,
   "position_embedding_type": "absolute",
   "problem_type": "multi_label_classification",
   "torch_dtype": "float32",
   "transformers_version": "4.42.4",
-  "type_vocab_size": 1,
+  "type_vocab_size": 2,
   "use_cache": true,
-  "vocab_size": 250002
+  "vocab_size": 30522
 }

model.safetensors

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special_tokens_map.json

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

tokenizer.json

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tokenizer_config.json

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 {
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       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
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       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
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       "single_word": false,
       "special": true
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       "special": true
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-  "cls_token": "<s>",
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+  "do_basic_tokenize": true,
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   "model_max_length": 512,
-  "pad_token": "<pad>",
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-  "tokenizer_class": "XLMRobertaTokenizer",
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+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
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 }

training_args.bin

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