Model save
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- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google/bert_uncased_L-2_H-128_A-2
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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: saccade-tiny
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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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# saccade-tiny
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This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0063
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- Accuracy: 1.0
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- Keep Precision: 1.0
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- Keep Recall: 1.0
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- Keep F1: 1.0
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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: 64
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- eval_batch_size: 128
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Keep Precision | Keep Recall | Keep F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------:|:-----------:|:-------:|
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| 0.0432 | 1.0 | 144 | 0.0207 | 1.0 | 1.0 | 1.0 | 1.0 |
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| 0.0164 | 2.0 | 288 | 0.0095 | 1.0 | 1.0 | 1.0 | 1.0 |
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| 0.0114 | 3.0 | 432 | 0.0069 | 1.0 | 1.0 | 1.0 | 1.0 |
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| 0.0099 | 4.0 | 576 | 0.0063 | 1.0 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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- Transformers 5.14.1
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- Pytorch 2.11.0+cu128
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- Datasets 5.0.1
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- Tokenizers 0.22.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 17483080
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version https://git-lfs.github.com/spec/v1
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size 17483080
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