BramVanroy/deberta-v3-base-uner-down-synth400

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/deberta-v3-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- precision
+- recall
+- accuracy
+model-index:
+- name: deberta-v3-base-uner-down-synth400
+  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. -->
+
+# deberta-v3-base-uner-down-synth400
+
+This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1315
+- F1: 0.7476
+- Precision: 0.7075
+- Recall: 0.7924
+- Accuracy: 0.9782
+
+## 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: 2.5e-05
+- train_batch_size: 16
+- eval_batch_size: 32
+- 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
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Precision | Recall | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:|
+| 0.4058        | 0.8   | 20   | 0.1934          | 0.055  | 0.12      | 0.0357 | 0.9433   |
+| 0.1639        | 1.6   | 40   | 0.1266          | 0.3309 | 0.2967    | 0.3741 | 0.9582   |
+| 0.0579        | 2.4   | 60   | 0.1016          | 0.4844 | 0.4477    | 0.5276 | 0.9669   |
+| 0.062         | 3.2   | 80   | 0.0864          | 0.6686 | 0.6147    | 0.7330 | 0.9747   |
+| 0.0521        | 4.0   | 100  | 0.0919          | 0.7018 | 0.6788    | 0.7265 | 0.9766   |
+| 0.015         | 4.8   | 120  | 0.0922          | 0.7314 | 0.6931    | 0.7741 | 0.9767   |
+| 0.0732        | 5.6   | 140  | 0.0931          | 0.7448 | 0.7068    | 0.7870 | 0.9779   |
+| 0.0123        | 6.4   | 160  | 0.0965          | 0.7244 | 0.6710    | 0.7870 | 0.9764   |
+| 0.019         | 7.2   | 180  | 0.0975          | 0.7285 | 0.6821    | 0.7816 | 0.9771   |
+| 0.0314        | 8.0   | 200  | 0.0982          | 0.7396 | 0.6984    | 0.7859 | 0.9774   |
+| 0.0125        | 8.8   | 220  | 0.1071          | 0.7488 | 0.7214    | 0.7784 | 0.9786   |
+| 0.003         | 9.6   | 240  | 0.1129          | 0.7467 | 0.7368    | 0.7568 | 0.9784   |
+| 0.0114        | 10.4  | 260  | 0.1137          | 0.7479 | 0.7361    | 0.76   | 0.9790   |
+| 0.0029        | 11.2  | 280  | 0.1153          | 0.7417 | 0.7039    | 0.7838 | 0.9783   |
+| 0.0159        | 12.0  | 300  | 0.1171          | 0.7422 | 0.6922    | 0.8    | 0.9775   |
+| 0.0077        | 12.8  | 320  | 0.1167          | 0.7585 | 0.7466    | 0.7708 | 0.9792   |
+| 0.002         | 13.6  | 340  | 0.1138          | 0.7400 | 0.6907    | 0.7968 | 0.9772   |
+| 0.001         | 14.4  | 360  | 0.1171          | 0.7505 | 0.7172    | 0.7870 | 0.9785   |
+| 0.0035        | 15.2  | 380  | 0.1202          | 0.7467 | 0.7102    | 0.7870 | 0.9781   |
+| 0.0016        | 16.0  | 400  | 0.1212          | 0.7507 | 0.7296    | 0.7730 | 0.9786   |
+| 0.0342        | 16.8  | 420  | 0.1221          | 0.7481 | 0.7042    | 0.7978 | 0.9779   |
+| 0.0015        | 17.6  | 440  | 0.1216          | 0.7438 | 0.6983    | 0.7957 | 0.9782   |
+| 0.0008        | 18.4  | 460  | 0.1230          | 0.7439 | 0.6993    | 0.7946 | 0.9780   |
+| 0.001         | 19.2  | 480  | 0.1261          | 0.7463 | 0.7096    | 0.7870 | 0.9783   |
+| 0.0008        | 20.0  | 500  | 0.1262          | 0.7427 | 0.6988    | 0.7924 | 0.9779   |
+| 0.0008        | 20.8  | 520  | 0.1269          | 0.7386 | 0.6891    | 0.7957 | 0.9773   |
+| 0.0009        | 21.6  | 540  | 0.1276          | 0.7418 | 0.6964    | 0.7935 | 0.9776   |
+| 0.0009        | 22.4  | 560  | 0.1279          | 0.7420 | 0.7010    | 0.7881 | 0.9778   |
+| 0.0006        | 23.2  | 580  | 0.1304          | 0.7397 | 0.6911    | 0.7957 | 0.9773   |
+| 0.001         | 24.0  | 600  | 0.1307          | 0.7402 | 0.6904    | 0.7978 | 0.9772   |
+| 0.0007        | 24.8  | 620  | 0.1308          | 0.7417 | 0.6930    | 0.7978 | 0.9774   |
+| 0.0015        | 25.6  | 640  | 0.1305          | 0.7452 | 0.7024    | 0.7935 | 0.9780   |
+| 0.0006        | 26.4  | 660  | 0.1305          | 0.7454 | 0.7071    | 0.7881 | 0.9782   |
+| 0.0007        | 27.2  | 680  | 0.1308          | 0.7458 | 0.7078    | 0.7881 | 0.9782   |
+| 0.0016        | 28.0  | 700  | 0.1311          | 0.7469 | 0.7072    | 0.7914 | 0.9782   |
+| 0.0011        | 28.8  | 720  | 0.1314          | 0.7476 | 0.7075    | 0.7924 | 0.9782   |
+| 0.0011        | 29.6  | 740  | 0.1315          | 0.7476 | 0.7075    | 0.7924 | 0.9782   |
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.8.0+cu128
+- Datasets 4.3.0
+- Tokenizers 0.22.1

added_tokens.json

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+{
+  "[MASK]": 128000
+}

config.json

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+{
+  "architectures": [
+    "DebertaV2ForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 1,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "finetuning_task": "ner",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-PER",
+    "2": "I-PER",
+    "3": "B-ORG",
+    "4": "I-ORG",
+    "5": "B-LOC",
+    "6": "I-LOC"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-LOC": 5,
+    "B-ORG": 3,
+    "B-PER": 1,
+    "I-LOC": 6,
+    "I-ORG": 4,
+    "I-PER": 2,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-07,
+  "legacy": true,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 768,
+  "pos_att_type": [
+    "p2c",
+    "c2p"
+  ],
+  "position_biased_input": false,
+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "transformers_version": "4.57.1",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

model.safetensors

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special_tokens_map.json

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+{
+  "bos_token": "[CLS]",
+  "cls_token": "[CLS]",
+  "eos_token": "[SEP]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

spm.model

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+size 2464616

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "128000": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  },
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "split_by_punct": false,
+  "tokenizer_class": "DebertaV2Tokenizer",
+  "unk_token": "[UNK]",
+  "vocab_type": "spm"
+}

training_args.bin

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