Model save
Browse files- README.md +78 -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: roberta-base
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: roberta-base-downstream-build_rr
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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-downstream-build_rr
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Precision: 0.1983
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- Recall: 0.3587
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- F1: 0.2554
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- Micro-f1: 0.2554
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- Accuracy: 0.9191
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- Loss: 0.2640
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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: 3e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 1
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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: 20.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Precision | Recall | F1 | Micro-f1 | Accuracy | Validation Loss |
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|:-------------:|:-----:|:----:|:---------:|:------:|:------:|:--------:|:--------:|:---------------:|
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| No log | 1.0 | 62 | 0.0835 | 0.1152 | 0.0968 | 0.0968 | 0.8780 | 0.4226 |
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| No log | 2.0 | 124 | 0.1537 | 0.2696 | 0.1957 | 0.1957 | 0.8931 | 0.3475 |
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| No log | 3.0 | 186 | 0.1875 | 0.3391 | 0.2415 | 0.2415 | 0.9052 | 0.2912 |
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| No log | 4.0 | 248 | 0.1992 | 0.3304 | 0.2486 | 0.2486 | 0.9003 | 0.2991 |
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| No log | 5.0 | 310 | 0.1784 | 0.3870 | 0.2442 | 0.2442 | 0.9066 | 0.2833 |
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| No log | 6.0 | 372 | 0.2206 | 0.3543 | 0.2719 | 0.2719 | 0.9148 | 0.2642 |
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| No log | 7.0 | 434 | 0.2300 | 0.3630 | 0.2816 | 0.2816 | 0.9177 | 0.2584 |
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| No log | 8.0 | 496 | 0.2179 | 0.3696 | 0.2742 | 0.2742 | 0.9177 | 0.2523 |
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| 0.4245 | 9.0 | 558 | 0.1921 | 0.3696 | 0.2528 | 0.2528 | 0.9167 | 0.2630 |
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| 0.4245 | 10.0 | 620 | 0.1983 | 0.3587 | 0.2554 | 0.2554 | 0.9191 | 0.2640 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 553787380
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version https://git-lfs.github.com/spec/v1
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oid sha256:c2c73d73b42545f188304b5a8cea30207588804d1f87ebc92b1f629b8a18a99e
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size 553787380
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