przybytniowska
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Training complete
Browse files- README.md +52 -0
- pytorch_model.bin +1 -1
- test_metrics.json +3 -0
- train_losses.csv +33 -0
README.md
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---
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license: mit
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base_model: FacebookAI/roberta-base
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tags:
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- generated_from_trainer
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model-index:
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- name: roberta_base_TextClass_IMDB_adamw_torch
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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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# roberta_base_TextClass_IMDB_adamw_torch
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
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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: 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: 5
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### Training results
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.3.0+cu118
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- Datasets 2.19.0
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 498658094
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version https://git-lfs.github.com/spec/v1
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oid sha256:09a720747bd5e5e2b853b34ab8485c9c6cf1e1b2a2b589d83272fa9789206540
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size 498658094
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test_metrics.json
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{
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"test_accuracy": 0.94928
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}
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train_losses.csv
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loss,epoch
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0.3832,0.16
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0.3023,0.32
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0.2967,0.48
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0.2778,0.64
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0.2507,0.8
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0.2765,0.96
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0.179,1.12
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0.2017,1.28
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0.1742,1.44
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0.1759,1.6
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0.1791,1.76
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0.1834,1.92
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0.1214,2.08
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0.0941,2.24
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0.11,2.4
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0.0935,2.56
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0.0875,2.72
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0.1161,2.88
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0.0906,3.04
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0.0518,3.2
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0.0546,3.36
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0.0566,3.52
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0.0454,3.68
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0.0533,3.84
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0.0367,4.0
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0.0294,4.16
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0.0331,4.32
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0.0221,4.48
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0.0318,4.64
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0.0361,4.8
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0.0262,4.96
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0.1304085351715088,5.0
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