End of training
Browse files- README.md +80 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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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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metrics:
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- accuracy
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model-index:
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- name: roberta-base-continual-kennedy2020constructing-S0T1
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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-continual-kennedy2020constructing-S0T1
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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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It achieves the following results on the evaluation set:
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- Loss: 1.5398
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- Accuracy: 0.5667
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- Roc Auc: 0.7793
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- Micro Precision: 0.5667
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- Macro Precision: 0.5834
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- Weighted Precision: 0.5834
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- Micro Recall: 0.5667
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- Macro Recall: 0.5667
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- Weighted Recall: 0.5667
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- Micro F1: 0.5667
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- Macro F1: 0.5568
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- Weighted F1: 0.5568
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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: 32
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Roc Auc | Micro Precision | Macro Precision | Weighted Precision | Micro Recall | Macro Recall | Weighted Recall | Micro F1 | Macro F1 | Weighted F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|:---------------:|:---------------:|:------------------:|:------------:|:------------:|:---------------:|:--------:|:--------:|:-----------:|
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| No log | 1.0 | 57 | 1.3397 | 0.3333 | 0.6652 | 0.3333 | 0.1111 | 0.1111 | 0.3333 | 0.3333 | 0.3333 | 0.3333 | 0.1667 | 0.1667 |
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| No log | 2.0 | 114 | 1.0461 | 0.48 | 0.7563 | 0.48 | 0.3508 | 0.3508 | 0.48 | 0.48 | 0.48 | 0.48 | 0.3810 | 0.3810 |
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| No log | 3.0 | 171 | 1.0020 | 0.5533 | 0.7707 | 0.5533 | 0.4876 | 0.4876 | 0.5533 | 0.5533 | 0.5533 | 0.5533 | 0.4667 | 0.4667 |
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| No log | 4.0 | 228 | 1.1591 | 0.5133 | 0.7707 | 0.5133 | 0.5582 | 0.5582 | 0.5133 | 0.5133 | 0.5133 | 0.5133 | 0.4790 | 0.4790 |
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| No log | 5.0 | 285 | 1.2874 | 0.5467 | 0.7651 | 0.5467 | 0.5471 | 0.5471 | 0.5467 | 0.5467 | 0.5467 | 0.5467 | 0.5278 | 0.5278 |
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| No log | 6.0 | 342 | 1.1093 | 0.6067 | 0.7936 | 0.6067 | 0.5863 | 0.5863 | 0.6067 | 0.6067 | 0.6067 | 0.6067 | 0.5874 | 0.5874 |
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| No log | 7.0 | 399 | 1.2420 | 0.6 | 0.7948 | 0.6 | 0.5925 | 0.5925 | 0.6 | 0.6 | 0.6 | 0.6 | 0.5860 | 0.5860 |
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| No log | 8.0 | 456 | 1.5520 | 0.5467 | 0.7737 | 0.5467 | 0.5457 | 0.5457 | 0.5467 | 0.5467 | 0.5467 | 0.5467 | 0.5282 | 0.5282 |
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| 0.4501 | 9.0 | 513 | 1.5398 | 0.5667 | 0.7793 | 0.5667 | 0.5834 | 0.5834 | 0.5667 | 0.5667 | 0.5667 | 0.5667 | 0.5568 | 0.5568 |
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### Framework versions
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- Transformers 4.49.0
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- Pytorch 2.6.0+cu124
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- Datasets 3.3.2
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- Tokenizers 0.21.0
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model.safetensors
CHANGED
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 498615900
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version https://git-lfs.github.com/spec/v1
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oid sha256:35e88e23a6cb40e6efa981365091ce4a9599e0ebb07a8246561e84dfa53cbed6
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size 498615900
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