mhr2004/bert-base-uncased-nsp-50000-1e-06-16

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-50000-1e-06-16
+  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-50000-1e-06-16
+
+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: 0.2315
+
+## 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: 64
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.6829        | 1.0   | 782   | 0.6331          |
+| 0.589         | 2.0   | 1564  | 0.5425          |
+| 0.4436        | 3.0   | 2346  | 0.3892          |
+| 0.3601        | 4.0   | 3128  | 0.3341          |
+| 0.3181        | 5.0   | 3910  | 0.3010          |
+| 0.2893        | 6.0   | 4692  | 0.2816          |
+| 0.2736        | 7.0   | 5474  | 0.2711          |
+| 0.2505        | 8.0   | 6256  | 0.2626          |
+| 0.2277        | 9.0   | 7038  | 0.2539          |
+| 0.216         | 10.0  | 7820  | 0.2474          |
+| 0.207         | 11.0  | 8602  | 0.2452          |
+| 0.212         | 12.0  | 9384  | 0.2398          |
+| 0.1956        | 13.0  | 10166 | 0.2384          |
+| 0.1794        | 14.0  | 10948 | 0.2374          |
+| 0.1894        | 15.0  | 11730 | 0.2358          |
+| 0.1731        | 16.0  | 12512 | 0.2358          |
+| 0.1717        | 17.0  | 13294 | 0.2315          |
+| 0.1652        | 18.0  | 14076 | 0.2349          |
+| 0.1647        | 19.0  | 14858 | 0.2353          |
+| 0.1565        | 20.0  | 15640 | 0.2349          |
+
+
+### 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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+oid sha256:6b56d60e133643f009d812ebb7a11bd2ed0a5cac0fbe385fb47bbaea6fc4a72f
+size 437958648

training_args.bin

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+size 5176