Saving model gmra_google-bert/bert-base-uncased_11112024T103209

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: bert-base-uncased_11112024T103209
+  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. -->
+
+# bert-base-uncased_11112024T103209
+
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4280
+- F1: 0.8712
+- Learning Rate: 0.0
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 600
+- num_epochs: 40
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | F1     | Rate   |
+|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
+| No log        | 0.9942  | 86   | 1.7522          | 0.1396 | 0.0000 |
+| No log        | 2.0     | 173  | 1.5504          | 0.3793 | 0.0000 |
+| No log        | 2.9942  | 259  | 1.3168          | 0.5063 | 0.0000 |
+| No log        | 4.0     | 346  | 1.0578          | 0.5762 | 0.0000 |
+| No log        | 4.9942  | 432  | 0.8963          | 0.6332 | 0.0000 |
+| 1.3438        | 6.0     | 519  | 0.7904          | 0.6792 | 0.0000 |
+| 1.3438        | 6.9942  | 605  | 0.6959          | 0.7280 | 2e-05  |
+| 1.3438        | 8.0     | 692  | 0.5408          | 0.8100 | 2e-05  |
+| 1.3438        | 8.9942  | 778  | 0.4754          | 0.8469 | 0.0000 |
+| 1.3438        | 10.0    | 865  | 0.4280          | 0.8712 | 0.0000 |
+| 1.3438        | 10.9942 | 951  | 0.4683          | 0.8750 | 0.0000 |
+| 0.4057        | 12.0    | 1038 | 0.5107          | 0.8769 | 0.0000 |
+| 0.4057        | 12.9942 | 1124 | 0.5242          | 0.8879 | 0.0000 |
+| 0.4057        | 14.0    | 1211 | 0.6143          | 0.8807 | 0.0000 |
+| 0.4057        | 14.9942 | 1297 | 0.6044          | 0.8844 | 0.0000 |
+| 0.4057        | 16.0    | 1384 | 0.5825          | 0.8942 | 0.0000 |
+| 0.4057        | 16.9942 | 1470 | 0.6377          | 0.8896 | 0.0000 |
+| 0.0457        | 18.0    | 1557 | 0.7469          | 0.8774 | 0.0000 |
+| 0.0457        | 18.9942 | 1643 | 0.7769          | 0.8818 | 0.0000 |
+| 0.0457        | 20.0    | 1730 | 0.6606          | 0.8943 | 0.0000 |
+| 0.0457        | 20.9942 | 1816 | 0.7124          | 0.8915 | 0.0000 |
+| 0.0457        | 22.0    | 1903 | 0.7385          | 0.8879 | 0.0000 |
+| 0.0457        | 22.9942 | 1989 | 0.6596          | 0.8977 | 0.0000 |
+| 0.0106        | 24.0    | 2076 | 0.7477          | 0.8887 | 0.0000 |
+| 0.0106        | 24.9942 | 2162 | 0.6636          | 0.8990 | 0.0000 |
+| 0.0106        | 26.0    | 2249 | 0.7530          | 0.8924 | 0.0000 |
+| 0.0106        | 26.9942 | 2335 | 0.7221          | 0.8944 | 0.0000 |
+| 0.0106        | 28.0    | 2422 | 0.7504          | 0.8931 | 0.0000 |
+| 0.0051        | 28.9942 | 2508 | 0.7383          | 0.8951 | 0.0000 |
+| 0.0051        | 30.0    | 2595 | 0.7678          | 0.8904 | 0.0000 |
+| 0.0051        | 30.9942 | 2681 | 0.7626          | 0.8903 | 0.0000 |
+| 0.0051        | 32.0    | 2768 | 0.7509          | 0.8915 | 0.0000 |
+| 0.0051        | 32.9942 | 2854 | 0.7659          | 0.8915 | 2e-06  |
+| 0.0051        | 34.0    | 2941 | 0.7721          | 0.8905 | 0.0000 |
+| 0.0032        | 34.9942 | 3027 | 0.7705          | 0.8904 | 1e-06  |
+| 0.0032        | 36.0    | 3114 | 0.7724          | 0.8893 | 7e-07  |
+| 0.0032        | 36.9942 | 3200 | 0.7740          | 0.8895 | 4e-07  |
+| 0.0032        | 38.0    | 3287 | 0.7749          | 0.8892 | 1e-07  |
+| 0.0032        | 38.9942 | 3373 | 0.7746          | 0.8889 | 0.0    |
+| 0.0032        | 39.7688 | 3440 | 0.7747          | 0.8889 | 0.0    |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "google-bert/bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "acknowledgement",
+    "1": "change_request",
+    "2": "critical",
+    "3": "discussion_participation",
+    "4": "discussion_trigger",
+    "5": "reference"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "acknowledgement": 0,
+    "change_request": 1,
+    "critical": 2,
+    "discussion_participation": 3,
+    "discussion_trigger": 4,
+    "reference": 5
+  },
+  "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",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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runs/Nov11_05-02-09_d3ea4c678bc4/events.out.tfevents.1731301336.d3ea4c678bc4.1682.0

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runs/Nov11_05-02-09_d3ea4c678bc4/events.out.tfevents.1731306095.d3ea4c678bc4.1682.1

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special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "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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