Model save
Browse files- README.md +71 -0
- logs/events.out.tfevents.1745267854.s_005_m.2836251.2 +2 -2
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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base_model: Hartunka/tiny_bert_km_5_v2
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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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- f1
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model-index:
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- name: tiny_bert_km_5_v2_mrpc
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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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# tiny_bert_km_5_v2_mrpc
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This model is a fine-tuned version of [Hartunka/tiny_bert_km_5_v2](https://huggingface.co/Hartunka/tiny_bert_km_5_v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8383
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- Accuracy: 0.6299
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- F1: 0.7299
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- Combined Score: 0.6799
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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: 256
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- eval_batch_size: 256
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- seed: 10
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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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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
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| 0.6277 | 1.0 | 15 | 0.6064 | 0.6887 | 0.8096 | 0.7492 |
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| 0.5964 | 2.0 | 30 | 0.6007 | 0.6765 | 0.7857 | 0.7311 |
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| 0.5743 | 3.0 | 45 | 0.6121 | 0.6985 | 0.8156 | 0.7571 |
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| 0.5591 | 4.0 | 60 | 0.5942 | 0.6838 | 0.7817 | 0.7328 |
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| 0.5162 | 5.0 | 75 | 0.6068 | 0.6814 | 0.7903 | 0.7358 |
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| 0.4733 | 6.0 | 90 | 0.6536 | 0.6544 | 0.7384 | 0.6964 |
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| 0.4261 | 7.0 | 105 | 0.6743 | 0.7059 | 0.8020 | 0.7539 |
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| 0.3647 | 8.0 | 120 | 0.7379 | 0.6814 | 0.7774 | 0.7294 |
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| 0.2976 | 9.0 | 135 | 0.8383 | 0.6299 | 0.7299 | 0.6799 |
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### Framework versions
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- Transformers 4.50.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.21.1
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