Saving model gmra_google-bert/bert-base-uncased_08112024T144127

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_08112024T144127
+  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_08112024T144127
+
+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: 0.4242
+- F1: 0.8849
+- 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: 1e-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: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | F1     | Rate   |
+|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
+| No log        | 0.9942  | 86   | 1.7911          | 0.1661 | 0.0000 |
+| No log        | 2.0     | 173  | 1.6895          | 0.2558 | 0.0000 |
+| No log        | 2.9942  | 259  | 1.5467          | 0.4336 | 0.0000 |
+| No log        | 4.0     | 346  | 1.3716          | 0.5012 | 0.0000 |
+| No log        | 4.9942  | 432  | 1.1818          | 0.5459 | 0.0000 |
+| 1.5117        | 6.0     | 519  | 1.0336          | 0.5938 | 0.0000 |
+| 1.5117        | 6.9942  | 605  | 0.9389          | 0.6309 | 1e-05  |
+| 1.5117        | 8.0     | 692  | 0.8480          | 0.6802 | 0.0000 |
+| 1.5117        | 8.9942  | 778  | 0.7481          | 0.7288 | 0.0000 |
+| 1.5117        | 10.0    | 865  | 0.6824          | 0.7561 | 0.0000 |
+| 1.5117        | 10.9942 | 951  | 0.6213          | 0.7867 | 0.0000 |
+| 0.7682        | 12.0    | 1038 | 0.5781          | 0.8039 | 0.0000 |
+| 0.7682        | 12.9942 | 1124 | 0.5184          | 0.8345 | 0.0000 |
+| 0.7682        | 14.0    | 1211 | 0.4854          | 0.8489 | 0.0000 |
+| 0.7682        | 14.9942 | 1297 | 0.4815          | 0.8559 | 0.0000 |
+| 0.7682        | 16.0    | 1384 | 0.4422          | 0.8704 | 0.0000 |
+| 0.7682        | 16.9942 | 1470 | 0.4422          | 0.8761 | 6e-06  |
+| 0.305         | 18.0    | 1557 | 0.4368          | 0.8791 | 0.0000 |
+| 0.305         | 18.9942 | 1643 | 0.4242          | 0.8849 | 0.0000 |
+| 0.305         | 20.0    | 1730 | 0.4483          | 0.8829 | 0.0000 |
+| 0.305         | 20.9942 | 1816 | 0.4539          | 0.8841 | 0.0000 |
+| 0.305         | 22.0    | 1903 | 0.4521          | 0.8862 | 0.0000 |
+| 0.305         | 22.9942 | 1989 | 0.4450          | 0.8896 | 0.0000 |
+| 0.1014        | 24.0    | 2076 | 0.4603          | 0.8874 | 0.0000 |
+| 0.1014        | 24.9942 | 2162 | 0.4750          | 0.8864 | 0.0000 |
+| 0.1014        | 26.0    | 2249 | 0.4711          | 0.8887 | 7e-07  |
+| 0.1014        | 26.9942 | 2335 | 0.4756          | 0.8879 | 4e-07  |
+| 0.1014        | 28.0    | 2422 | 0.4691          | 0.8883 | 2e-07  |
+| 0.0521        | 28.9942 | 2508 | 0.4694          | 0.8883 | 0.0    |
+| 0.0521        | 29.8266 | 2580 | 0.4699          | 0.8883 | 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/Nov08_09-11-27_0c5241002884/events.out.tfevents.1731057095.0c5241002884.388.0

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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": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "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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