San-Analytics/invoice-ner

README.md

@@ -0,0 +1,70 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+model-index:
+- name: ner
+  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. -->
+
+# ner
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0003
+- Precision: 1.0
+- Recall: 1.0
+- F1: 1.0
+
+## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|
+| 0.1717        | 1.0   | 125  | 0.0026          | 1.0       | 1.0    | 1.0 |
+| 0.0022        | 2.0   | 250  | 0.0007          | 1.0       | 1.0    | 1.0 |
+| 0.0014        | 3.0   | 375  | 0.0004          | 1.0       | 1.0    | 1.0 |
+| 0.0010        | 4.0   | 500  | 0.0004          | 1.0       | 1.0    | 1.0 |
+| 0.0008        | 5.0   | 625  | 0.0003          | 1.0       | 1.0    | 1.0 |
+
+
+### Framework versions
+
+- Transformers 5.8.0
+- Pytorch 2.11.0+cu130
+- Datasets 4.8.5
+- Tokenizers 0.22.2

config.json

@@ -0,0 +1,60 @@
+{
+  "add_cross_attention": false,
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": null,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-VENDOR",
+    "2": "I-VENDOR",
+    "3": "B-AMOUNT",
+    "4": "I-AMOUNT",
+    "5": "B-DATE",
+    "6": "I-DATE",
+    "7": "B-DOC_NUMBER",
+    "8": "I-DOC_NUMBER",
+    "9": "B-GST",
+    "10": "I-GST",
+    "11": "B-QUANTITY",
+    "12": "I-QUANTITY"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "is_decoder": false,
+  "label2id": {
+    "B-AMOUNT": 3,
+    "B-DATE": 5,
+    "B-DOC_NUMBER": 7,
+    "B-GST": 9,
+    "B-QUANTITY": 11,
+    "B-VENDOR": 1,
+    "I-AMOUNT": 4,
+    "I-DATE": 6,
+    "I-DOC_NUMBER": 8,
+    "I-GST": 10,
+    "I-QUANTITY": 12,
+    "I-VENDOR": 2,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "tie_word_embeddings": true,
+  "transformers_version": "5.8.0",
+  "type_vocab_size": 2,
+  "use_cache": false,
+  "vocab_size": 28996
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11bf91a5ca2a336894207ce3c719acbc2cb856e07918241c5b31901a02d5b27d
+size 430942020

tokenizer_config.json

@@ -0,0 +1,15 @@
+{
+  "backend": "tokenizers",
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "is_local": false,
+  "local_files_only": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:732edc887d11c8467b297e840627bc5295c03597023d159761d0cd8be28e6762
+size 5329