End of training
Browse files- README.md +78 -0
- config.json +28 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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base_model: roberta-base
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tags:
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- generated_from_trainer
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datasets:
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- au_tex_tification
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metrics:
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- accuracy
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model-index:
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- name: roberta-base-autextification
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: au_tex_tification
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type: au_tex_tification
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config: detection_en
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split: train
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args: detection_en
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.6
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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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# roberta-base-autextification
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the au_tex_tification dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5859
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- Accuracy: 0.6
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- Roc Auc: 0.7708
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Roc Auc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
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| 0.7484 | 1.0 | 10 | 0.6638 | 0.6 | 0.5625 |
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| 0.6813 | 2.0 | 20 | 0.6282 | 0.6 | 0.75 |
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| 0.6084 | 3.0 | 30 | 0.5859 | 0.6 | 0.7708 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.14.1
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config.json
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{
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"_name_or_path": "roberta-base",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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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-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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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": "4.35.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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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 sha256:01ec8688cda132ee1e17b2a991b07389d432e5dca5e0be205b9bc901398ef8a9
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size 498612824
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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:aa1e32937a77437d92f5d21e0a74d90fa99736919896366fee0d2167b4c4371f
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size 4155
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