sickcell69
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End of training
Browse files- README.md +64 -0
- config.json +26 -0
- generation_config.json +5 -0
- model.safetensors +3 -0
- runs/Apr12_17-36-10_DESKTOP-7EBBP1S/events.out.tfevents.1712914582.DESKTOP-7EBBP1S.4543.0 +3 -0
- runs/Apr12_17-36-10_DESKTOP-7EBBP1S/events.out.tfevents.1712914695.DESKTOP-7EBBP1S.4543.1 +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-base-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-base-uncased-finetuned-github_cybersecurity_READMEs
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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-base-uncased-finetuned-github_cybersecurity_READMEs
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.7290
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 58 | 8.0800 |
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| No log | 2.0 | 116 | 6.5805 |
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| No log | 3.0 | 174 | 5.9328 |
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| No log | 4.0 | 232 | 5.1172 |
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| No log | 5.0 | 290 | 4.6694 |
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### Framework versions
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- Transformers 4.40.0.dev0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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"BertLMHeadModel"
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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": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.40.0.dev0",
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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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generation_config.json
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{
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"_from_model_config": true,
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"pad_token_id": 0,
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"transformers_version": "4.40.0.dev0"
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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 sha256:863ff43435cd6a6031a2db044f89896ace2ecae1e85b38df95127954ab41de32
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size 438080896
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runs/Apr12_17-36-10_DESKTOP-7EBBP1S/events.out.tfevents.1712914582.DESKTOP-7EBBP1S.4543.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b3f693a819e1b1b09c6787d7482afd0bcd28ac9c0968759ba4c948db325322b
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size 6413
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runs/Apr12_17-36-10_DESKTOP-7EBBP1S/events.out.tfevents.1712914695.DESKTOP-7EBBP1S.4543.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:b1f368e85aa7d56816748a8626f7cc6ffb9931f726e19e9c78a17e1ee1aeab59
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size 359
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:155e4736eb79e9468734c0cdec06eb32ce56cfb9c84d8f0295ee1c594755b843
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size 4984
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