mhr2004/bert-large-uncased-pp-500000-1e-06-128

README.md

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+---
+license: apache-2.0
+base_model: bert-large-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-large-uncased-pp-500000-1e-06-128
+  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-uncased-pp-500000-1e-06-128
+
+This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6626
+
+## 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: 512
+- eval_batch_size: 1024
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.6848        | 1.0   | 977   | 0.6733          |
+| 0.6785        | 2.0   | 1954  | 0.6690          |
+| 0.6748        | 3.0   | 2931  | 0.6667          |
+| 0.6734        | 4.0   | 3908  | 0.6650          |
+| 0.6724        | 5.0   | 4885  | 0.6644          |
+| 0.6705        | 6.0   | 5862  | 0.6638          |
+| 0.6709        | 7.0   | 6839  | 0.6635          |
+| 0.6697        | 8.0   | 7816  | 0.6631          |
+| 0.6686        | 9.0   | 8793  | 0.6631          |
+| 0.6669        | 10.0  | 9770  | 0.6627          |
+| 0.6667        | 11.0  | 10747 | 0.6627          |
+| 0.6667        | 12.0  | 11724 | 0.6627          |
+| 0.6662        | 13.0  | 12701 | 0.6627          |
+| 0.6668        | 14.0  | 13678 | 0.6626          |
+| 0.6653        | 15.0  | 14655 | 0.6626          |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "bert-large-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": 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,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.43.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+size 1340622760

training_args.bin

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