mhr2004/bert-base-uncased-pp-1000-1e-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-pp-1000-1e-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-pp-1000-1e-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: 0.6942
+
+## 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   | 32   | 0.7053          |
+| No log        | 2.0   | 64   | 0.7014          |
+| No log        | 3.0   | 96   | 0.6994          |
+| No log        | 4.0   | 128  | 0.6983          |
+| No log        | 5.0   | 160  | 0.6972          |
+| No log        | 6.0   | 192  | 0.6967          |
+| 0.6995        | 7.0   | 224  | 0.6959          |
+| 0.6995        | 8.0   | 256  | 0.6955          |
+| 0.6995        | 9.0   | 288  | 0.6953          |
+| 0.6995        | 10.0  | 320  | 0.6951          |
+| 0.6995        | 11.0  | 352  | 0.6949          |
+| 0.6995        | 12.0  | 384  | 0.6948          |
+| 0.69          | 13.0  | 416  | 0.6946          |
+| 0.69          | 14.0  | 448  | 0.6945          |
+| 0.69          | 15.0  | 480  | 0.6945          |
+| 0.69          | 16.0  | 512  | 0.6944          |
+| 0.69          | 17.0  | 544  | 0.6943          |
+| 0.69          | 18.0  | 576  | 0.6942          |
+| 0.6839        | 19.0  | 608  | 0.6943          |
+| 0.6839        | 20.0  | 640  | 0.6943          |
+| 0.6839        | 21.0  | 672  | 0.6943          |
+
+
+### 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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+size 5176