End of training

README.md

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+---
+license: apache-2.0
+base_model: PartAI/TookaBERT-Base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: my_model
+  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. -->
+
+# my_model
+
+This model is a fine-tuned version of [PartAI/TookaBERT-Base](https://huggingface.co/PartAI/TookaBERT-Base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7588
+- Precision: 0.4745
+- Recall: 0.1738
+- F1: 0.2544
+- Accuracy: 0.6770
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 19   | 2.2673          | 0.3636    | 0.0214 | 0.0404 | 0.6355   |
+| No log        | 2.0   | 38   | 1.9224          | 0.3710    | 0.0615 | 0.1055 | 0.6459   |
+| No log        | 3.0   | 57   | 1.7588          | 0.4745    | 0.1738 | 0.2544 | 0.6770   |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "PartAI/TookaBERT-Base",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
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+  "bos_token_id": 2,
+  "classifier_dropout": null,
+  "eos_token_id": 3,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
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+    "1": "B-Age_Group",
+    "2": "B-Barcode",
+    "3": "B-Benefits",
+    "4": "B-Brand",
+    "5": "B-Case_Material",
+    "6": "B-Color",
+    "7": "B-Country_of_Origin",
+    "8": "B-Durability",
+    "9": "B-Feature",
+    "10": "B-Final_Result",
+    "11": "B-Flat_and_Angled_Shape",
+    "12": "B-Form",
+    "13": "B-Fragrance",
+    "14": "B-Ideal_for_Eyebrow_Shadows_and_Natural_Designs",
+    "15": "B-Ingredients",
+    "16": "B-Manufacturer",
+    "17": "B-Model",
+    "18": "B-Packaging_Type",
+    "19": "B-Performance",
+    "20": "B-Price",
+    "21": "B-Product_Code",
+    "22": "B-Product_Name",
+    "23": "B-Quantity",
+    "24": "B-Size",
+    "25": "B-Skin_Type",
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+    "50": "I-Ideal_for_Eyebrow_Shadows_and_Natural_Designs",
+    "51": "I-Ingredients",
+    "52": "I-Performance",
+    "53": "I-Price",
+    "54": "I-Product_Name",
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+    "B-Barcode": 2,
+    "B-Benefits": 3,
+    "B-Brand": 4,
+    "B-Case_Material": 5,
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+    "B-Ingredients": 15,
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+    "B-Packaging_Type": 18,
+    "B-Performance": 19,
+    "B-Price": 20,
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+    "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 48000
+}

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special_tokens_map.json

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tokenizer_config.json

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