Training in progress, epoch 1

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: distilbert-base-cased-logdetective-extraction-retrained
+  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. -->
+
+# distilbert-base-cased-logdetective-extraction-retrained
+
+This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3047
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 9    | 5.4981          |
+| No log        | 2.0   | 18   | 4.7485          |
+| No log        | 3.0   | 27   | 4.2960          |
+| No log        | 4.0   | 36   | 4.0269          |
+| No log        | 5.0   | 45   | 3.0733          |
+| No log        | 6.0   | 54   | 2.9759          |
+| No log        | 7.0   | 63   | 2.5961          |
+| No log        | 8.0   | 72   | 2.3365          |
+| No log        | 9.0   | 81   | 2.4470          |
+| No log        | 10.0  | 90   | 2.3994          |
+| No log        | 11.0  | 99   | 2.3914          |
+| No log        | 12.0  | 108  | 2.3324          |
+| No log        | 13.0  | 117  | 2.2978          |
+| No log        | 14.0  | 126  | 2.2797          |
+| No log        | 15.0  | 135  | 2.2886          |
+| No log        | 16.0  | 144  | 2.2969          |
+| No log        | 17.0  | 153  | 2.3091          |
+| No log        | 18.0  | 162  | 2.2597          |
+| No log        | 19.0  | 171  | 2.3080          |
+| No log        | 20.0  | 180  | 2.3047          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

config.json

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+{
+  "_name_or_path": "distilbert-base-cased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForQuestionAnswering"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "vocab_size": 28996
+}

model.safetensors

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runs/Jan29_14-39-57_fa2c09ae072b/events.out.tfevents.1706539198.fa2c09ae072b.182.1

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runs/Jan29_14-57-03_fa2c09ae072b/events.out.tfevents.1706540225.fa2c09ae072b.182.2

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special_tokens_map.json

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+{
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+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
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+  "pad_token": "[PAD]",
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+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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