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README.md

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----
-tags:
-- generated_from_trainer
-model-index:
-- name: bert-base-uncased-bert-base-uncased-finetuned-mbti-0905
-  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-bert-base-uncased-finetuned-mbti-0905
-
-This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.1300
-
-## 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: 4
-- eval_batch_size: 8
-- 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 |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 6.1123        | 1.0   | 1735  | 5.8687          |
-| 5.7296        | 2.0   | 3470  | 5.7366          |
-| 5.4171        | 3.0   | 5205  | 5.7069          |
-| 5.1515        | 4.0   | 6940  | 5.7513          |
-| 4.972         | 5.0   | 8675  | 5.7805          |
-| 4.8949        | 6.0   | 10410 | 5.5448          |
-| 4.2657        | 7.0   | 12145 | 4.9113          |
-| 3.6447        | 8.0   | 13880 | 4.1228          |
-| 3.0587        | 9.0   | 15615 | 3.6803          |
-| 2.8321        | 10.0  | 17350 | 3.4982          |
-| 2.5816        | 11.0  | 19085 | 2.8572          |
-| 1.9901        | 12.0  | 20820 | 2.4997          |
-| 1.5719        | 13.0  | 22555 | 2.2799          |
-| 1.2894        | 14.0  | 24290 | 2.1577          |
-| 1.1245        | 15.0  | 26025 | 2.1300          |
-
-
-### Framework versions
-
-- Transformers 4.21.2
-- Pytorch 1.12.1
-- Datasets 2.4.0
-- Tokenizers 0.12.1

all_results.json

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-{
-    "epoch": 10.0,
-    "total_flos": 2.4440047552512e+16,
-    "train_loss": 0.0,
-    "train_runtime": 0.0636,
-    "train_samples_per_second": 1090977.125,
-    "train_steps_per_second": 272744.281
-}

config.json

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-{
-  "_name_or_path": "bert-base-uncased",
-  "architectures": [
-    "BertLMHeadModel"
-  ],
-  "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,
-  "is_decoder": true,
-  "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",
-  "torch_dtype": "float32",
-  "transformers_version": "4.21.2",
-  "type_vocab_size": 2,
-  "use_cache": true,
-  "vocab_size": 30522
-}

pytorch_model.bin

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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

@@ -1,14 +0,0 @@
-{
-  "cls_token": "[CLS]",
-  "do_lower_case": true,
-  "mask_token": "[MASK]",
-  "model_max_length": 512,
-  "name_or_path": "bert-base-uncased",
-  "pad_token": "[PAD]",
-  "sep_token": "[SEP]",
-  "special_tokens_map_file": null,
-  "strip_accents": null,
-  "tokenize_chinese_chars": true,
-  "tokenizer_class": "BertTokenizer",
-  "unk_token": "[UNK]"
-}

train_results.json

@@ -1,8 +0,0 @@
-{
-    "epoch": 10.0,
-    "total_flos": 2.4440047552512e+16,
-    "train_loss": 0.0,
-    "train_runtime": 0.0636,
-    "train_samples_per_second": 1090977.125,
-    "train_steps_per_second": 272744.281
-}

training_args.bin

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