End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-large-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-large-cased-5kvul-10aug-3nsfw-exp-10ep
+  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-large-cased-5kvul-10aug-3nsfw-exp-10ep
+
+This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1089
+- Accuracy: 1.0
+
+## 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: 5e-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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3639        | 1.0   | 597  | 0.1012          | 1.0      |
+| 0.3649        | 2.0   | 1194 | 0.1470          | 1.0      |
+| 0.3719        | 3.0   | 1791 | 0.1336          | 1.0      |
+| 0.3631        | 4.0   | 2388 | 0.1025          | 1.0      |
+| 0.3523        | 5.0   | 2985 | 1.1339          | 0.0      |
+| 0.3683        | 6.0   | 3582 | 0.1106          | 1.0      |
+| 0.3666        | 7.0   | 4179 | 0.1170          | 1.0      |
+| 0.354         | 8.0   | 4776 | 0.0958          | 1.0      |
+| 0.3485        | 9.0   | 5373 | 0.1042          | 1.0      |
+| 0.3571        | 10.0  | 5970 | 0.1089          | 1.0      |
+
+
+### 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-large-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "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": 28996
+}

model.safetensors

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runs/Dec17_15-35-01_b9948f69a305/events.out.tfevents.1702827306.b9948f69a305.342.0

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training_args.bin

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