Model save
Browse files- README.md +71 -0
- logs/events.out.tfevents.1745278877.s_005_m.2836625.42 +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_20_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_20_v2_qqp
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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_20_v2_qqp
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This model is a fine-tuned version of [Hartunka/tiny_bert_km_20_v2](https://huggingface.co/Hartunka/tiny_bert_km_20_v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5787
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- Accuracy: 0.8236
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- F1: 0.7680
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- Combined Score: 0.7958
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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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| 0.497 | 1.0 | 1422 | 0.4556 | 0.7813 | 0.6727 | 0.7270 |
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| 0.4091 | 2.0 | 2844 | 0.4252 | 0.8003 | 0.7087 | 0.7545 |
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| 0.3508 | 3.0 | 4266 | 0.4284 | 0.8118 | 0.7313 | 0.7716 |
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| 0.3022 | 4.0 | 5688 | 0.4227 | 0.8168 | 0.7369 | 0.7768 |
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| 0.2622 | 5.0 | 7110 | 0.4398 | 0.8212 | 0.7536 | 0.7874 |
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| 0.2268 | 6.0 | 8532 | 0.4587 | 0.8229 | 0.7595 | 0.7912 |
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| 0.2005 | 7.0 | 9954 | 0.4909 | 0.8228 | 0.7602 | 0.7915 |
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| 0.1759 | 8.0 | 11376 | 0.5125 | 0.8242 | 0.7618 | 0.7930 |
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| 0.1564 | 9.0 | 12798 | 0.5787 | 0.8236 | 0.7680 | 0.7958 |
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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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