mhr2004/bert-large-uncased-pp-500000-1e-06-128
Browse files- README.md +71 -0
- config.json +27 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: bert-large-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-large-uncased-pp-500000-1e-06-128
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bert-large-uncased-pp-500000-1e-06-128
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6626
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-06
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- train_batch_size: 512
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- eval_batch_size: 1024
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.6848 | 1.0 | 977 | 0.6733 |
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| 0.6785 | 2.0 | 1954 | 0.6690 |
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| 0.6748 | 3.0 | 2931 | 0.6667 |
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| 0.6734 | 4.0 | 3908 | 0.6650 |
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| 0.6724 | 5.0 | 4885 | 0.6644 |
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| 0.6705 | 6.0 | 5862 | 0.6638 |
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| 0.6709 | 7.0 | 6839 | 0.6635 |
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| 0.6697 | 8.0 | 7816 | 0.6631 |
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| 0.6686 | 9.0 | 8793 | 0.6631 |
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| 0.6669 | 10.0 | 9770 | 0.6627 |
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| 0.6667 | 11.0 | 10747 | 0.6627 |
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| 0.6667 | 12.0 | 11724 | 0.6627 |
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| 0.6662 | 13.0 | 12701 | 0.6627 |
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| 0.6668 | 14.0 | 13678 | 0.6626 |
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| 0.6653 | 15.0 | 14655 | 0.6626 |
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### Framework versions
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- Transformers 4.43.3
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- Pytorch 2.4.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "bert-large-uncased",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.43.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5891e2ef98be95d3520c9a92eafd31ad67664ce40fbba36ab204c09078087d87
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size 1340622760
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c0276ddac56d2198514912fa481af9793a372908c2099cbe8ff4d10aac0242c
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size 5176
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