Training completed!

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bert-base-uncased-finetuned-stationary-epoch-update
+  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-finetuned-stationary-epoch-update
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0945
+- Accuracy: 0.8167
+- F1: 0.8090
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.6008        | 1.0   | 38   | 0.5006          | 0.7267   | 0.6924 |
+| 0.4314        | 2.0   | 76   | 0.4429          | 0.81     | 0.8107 |
+| 0.3104        | 3.0   | 114  | 0.4770          | 0.8067   | 0.8005 |
+| 0.1893        | 4.0   | 152  | 0.6433          | 0.81     | 0.7985 |
+| 0.1103        | 5.0   | 190  | 0.7405          | 0.8      | 0.7841 |
+| 0.0708        | 6.0   | 228  | 0.7971          | 0.8133   | 0.8025 |
+| 0.0464        | 7.0   | 266  | 0.9670          | 0.79     | 0.7727 |
+| 0.0224        | 8.0   | 304  | 1.0068          | 0.8067   | 0.7964 |
+| 0.0163        | 9.0   | 342  | 0.9835          | 0.8033   | 0.7959 |
+| 0.0182        | 10.0  | 380  | 1.0203          | 0.8067   | 0.7981 |
+| 0.0118        | 11.0  | 418  | 1.0874          | 0.8133   | 0.8034 |
+| 0.0052        | 12.0  | 456  | 1.1500          | 0.81     | 0.7985 |
+| 0.0052        | 13.0  | 494  | 1.0991          | 0.8167   | 0.8082 |
+| 0.0076        | 14.0  | 532  | 1.1015          | 0.82     | 0.8104 |
+| 0.0037        | 15.0  | 570  | 1.0945          | 0.8167   | 0.8090 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "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,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "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": "4.35.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+size 437958648

runs/Dec20_12-55-02_c76653bfe8be/events.out.tfevents.1703076907.c76653bfe8be.551.0

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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
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+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "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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