Training in progress, epoch 1

README.md

@@ -12,8 +12,6 @@ metrics:
 model-index:
 - name: legal_ai_India_ner_results
   results: []
-datasets:
-- opennyaiorg/InLegalNER
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -69,4 +67,4 @@ The following hyperparameters were used during training:
 - Transformers 4.48.3
 - Pytorch 2.5.1+cu124
 - Datasets 3.3.2
-- Tokenizers 0.21.0
+- Tokenizers 0.21.0

config.json

@@ -1,11 +1,12 @@
 {
-  "_name_or_path": "bert-base-uncased",
+  "_name_or_path": "nlpaueb/legal-bert-base-uncased",
   "architectures": [
     "BertForTokenClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
   "classifier_dropout": null,
-  "gradient_checkpointing": false,
+  "eos_token_ids": 0,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
@@ -78,6 +79,7 @@
   "model_type": "bert",
   "num_attention_heads": 12,
   "num_hidden_layers": 12,
+  "output_past": true,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",

model.safetensors

@@ -1,3 +1,3 @@
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 size 435679140

runs/Feb24_19-47-23_92734c0b55b6/events.out.tfevents.1740426444.92734c0b55b6.23332.0

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tokenizer_config.json

@@ -41,12 +41,14 @@
       "special": true
     }
   },
-  "clean_up_tokenization_spaces": false,
+  "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
   "do_lower_case": true,
   "extra_special_tokens": {},
   "mask_token": "[MASK]",
   "model_max_length": 512,
+  "never_split": null,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "strip_accents": null,

training_args.bin

@@ -1,3 +1,3 @@
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 size 5368