End of training

README.md

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+---
+license: apache-2.0
+base_model: GerMedBERT/medbert-512
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- accuracy
+model-index:
+- name: GerMedBert_ATTR_V02_BRONCO
+  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. -->
+
+# GerMedBert_ATTR_V02_BRONCO
+
+This model is a fine-tuned version of [GerMedBERT/medbert-512](https://huggingface.co/GerMedBERT/medbert-512) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0593
+- F1 Score: 0.8187
+- Precision: 0.8235
+- Recall: 0.8140
+- Accuracy: 0.8993
+- Num Input Tokens Seen: 4204246
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision | Recall | Accuracy | Input Tokens Seen |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|:-----------------:|
+| No log        | 0.25  | 81   | 0.1949          | 0.0      | 1.0       | 0.0    | 0.7240   | 175856            |
+| 0.206         | 0.5   | 162  | 0.1196          | 0.4123   | 0.8393    | 0.2733 | 0.7847   | 349280            |
+| 0.206         | 0.75  | 243  | 0.0945          | 0.6296   | 0.8673    | 0.4942 | 0.8351   | 526096            |
+| 0.1019        | 1.0   | 324  | 0.0792          | 0.7584   | 0.8       | 0.7209 | 0.8698   | 702407            |
+| 0.1019        | 1.25  | 405  | 0.0697          | 0.7874   | 0.7784    | 0.7965 | 0.8785   | 877047            |
+| 0.0715        | 1.5   | 486  | 0.0697          | 0.7778   | 0.7447    | 0.8140 | 0.8715   | 1052647           |
+| 0.0715        | 1.75  | 567  | 0.0673          | 0.7568   | 0.7826    | 0.7326 | 0.8715   | 1227287           |
+| 0.0638        | 2.0   | 648  | 0.0680          | 0.7781   | 0.7358    | 0.8256 | 0.8715   | 1400330           |
+| 0.0638        | 2.25  | 729  | 0.0622          | 0.7965   | 0.8084    | 0.7849 | 0.8941   | 1577786           |
+| 0.0445        | 2.5   | 810  | 0.0593          | 0.8012   | 0.7943    | 0.8081 | 0.8906   | 1751722           |
+| 0.0445        | 2.75  | 891  | 0.0583          | 0.8023   | 0.8023    | 0.8023 | 0.8906   | 1927258           |
+| 0.0396        | 3.0   | 972  | 0.0579          | 0.8161   | 0.8068    | 0.8256 | 0.8993   | 2100749           |
+| 0.0396        | 3.25  | 1053 | 0.0598          | 0.8125   | 0.7944    | 0.8314 | 0.8941   | 2276989           |
+| 0.0289        | 3.5   | 1134 | 0.0592          | 0.8036   | 0.8232    | 0.7849 | 0.8941   | 2451501           |
+| 0.0289        | 3.75  | 1215 | 0.0585          | 0.7954   | 0.7886    | 0.8023 | 0.8906   | 2628573           |
+| 0.0271        | 4.0   | 1296 | 0.0571          | 0.8171   | 0.8034    | 0.8314 | 0.8993   | 2802576           |
+| 0.0271        | 4.25  | 1377 | 0.0581          | 0.8235   | 0.8333    | 0.8140 | 0.9045   | 2978368           |
+| 0.0194        | 4.5   | 1458 | 0.0619          | 0.7978   | 0.7717    | 0.8256 | 0.8837   | 3154544           |
+| 0.0194        | 4.75  | 1539 | 0.0612          | 0.8048   | 0.8323    | 0.7791 | 0.8958   | 3330400           |
+| 0.0193        | 5.0   | 1620 | 0.0585          | 0.8059   | 0.8155    | 0.7965 | 0.8958   | 3505555           |
+| 0.0193        | 5.25  | 1701 | 0.0587          | 0.8187   | 0.8235    | 0.8140 | 0.9010   | 3680771           |
+| 0.0153        | 5.5   | 1782 | 0.0592          | 0.8242   | 0.8171    | 0.8314 | 0.9010   | 3856947           |
+| 0.0153        | 5.75  | 1863 | 0.0592          | 0.8163   | 0.8187    | 0.8140 | 0.8993   | 4030371           |
+| 0.0146        | 6.0   | 1944 | 0.0593          | 0.8187   | 0.8235    | 0.8140 | 0.8993   | 4204246           |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,42 @@
+{
+  "_name_or_path": "GerMedBERT/medbert-512",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B",
+    "1": "L",
+    "2": "R",
+    "3": "negative",
+    "4": "possibleFuture",
+    "5": "speculative"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B": 0,
+    "L": 1,
+    "R": 2,
+    "negative": 3,
+    "possibleFuture": 4,
+    "speculative": 5
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30000
+}

model.safetensors

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+oid sha256:2fd4aff63d5d439c6ed46e3f4a983890712d7b8aed78a97acec93d9226d4e6f4
+size 436367360

special_tokens_map.json

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

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": 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

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+size 5048