mhr2004/bert-base-uncased-nsp-5000-1e-06-8

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-base-uncased-nsp-5000-1e-06-8
+  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-nsp-5000-1e-06-8
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4119
+
+## 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-06
+- train_batch_size: 32
+- eval_batch_size: 1024
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 157  | 0.6923          |
+| 0.6979        | 2.0   | 314  | 0.6900          |
+| 0.6928        | 3.0   | 471  | 0.6867          |
+| 0.6891        | 4.0   | 628  | 0.6805          |
+| 0.6891        | 5.0   | 785  | 0.6697          |
+| 0.6805        | 6.0   | 942  | 0.6527          |
+| 0.6637        | 7.0   | 1099 | 0.6301          |
+| 0.6388        | 8.0   | 1256 | 0.6087          |
+| 0.6103        | 9.0   | 1413 | 0.5909          |
+| 0.6103        | 10.0  | 1570 | 0.5760          |
+| 0.5846        | 11.0  | 1727 | 0.5624          |
+| 0.5665        | 12.0  | 1884 | 0.5438          |
+| 0.5322        | 13.0  | 2041 | 0.5249          |
+| 0.5322        | 14.0  | 2198 | 0.5029          |
+| 0.5096        | 15.0  | 2355 | 0.4886          |
+| 0.4759        | 16.0  | 2512 | 0.4672          |
+| 0.4457        | 17.0  | 2669 | 0.4581          |
+| 0.4306        | 18.0  | 2826 | 0.4493          |
+| 0.4306        | 19.0  | 2983 | 0.4413          |
+| 0.4073        | 20.0  | 3140 | 0.4331          |
+| 0.3974        | 21.0  | 3297 | 0.4267          |
+| 0.3789        | 22.0  | 3454 | 0.4252          |
+| 0.3615        | 23.0  | 3611 | 0.4200          |
+| 0.3615        | 24.0  | 3768 | 0.4183          |
+| 0.356         | 25.0  | 3925 | 0.4164          |
+| 0.3588        | 26.0  | 4082 | 0.4152          |
+| 0.3465        | 27.0  | 4239 | 0.4146          |
+| 0.3465        | 28.0  | 4396 | 0.4133          |
+| 0.3431        | 29.0  | 4553 | 0.4123          |
+| 0.3451        | 30.0  | 4710 | 0.4119          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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": "4.44.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+size 437958648

training_args.bin

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