Model save
Browse files- README.md +70 -0
- logs/events.out.tfevents.1745274791.s_005_m.2836894.12 +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/bert_base_km_5_v2
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tags:
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- generated_from_trainer
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metrics:
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- spearmanr
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model-index:
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- name: bert_base_km_5_v2_stsb
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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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# bert_base_km_5_v2_stsb
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This model is a fine-tuned version of [Hartunka/bert_base_km_5_v2](https://huggingface.co/Hartunka/bert_base_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: 2.1071
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- Pearson: 0.4559
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- Spearmanr: 0.4422
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- Combined Score: 0.4491
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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 | Pearson | Spearmanr | Combined Score |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
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| 2.6459 | 1.0 | 23 | 2.4966 | 0.1835 | 0.1715 | 0.1775 |
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| 1.8235 | 2.0 | 46 | 2.2914 | 0.3594 | 0.3550 | 0.3572 |
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| 1.4306 | 3.0 | 69 | 2.0514 | 0.4242 | 0.4267 | 0.4254 |
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| 1.0154 | 4.0 | 92 | 1.8177 | 0.4729 | 0.4647 | 0.4688 |
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| 0.6595 | 5.0 | 115 | 2.1356 | 0.4311 | 0.4288 | 0.4299 |
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| 0.5214 | 6.0 | 138 | 2.0065 | 0.4628 | 0.4615 | 0.4621 |
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| 0.3787 | 7.0 | 161 | 2.2221 | 0.4495 | 0.4408 | 0.4451 |
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| 0.3169 | 8.0 | 184 | 2.1129 | 0.4652 | 0.4569 | 0.4611 |
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| 0.2679 | 9.0 | 207 | 2.1071 | 0.4559 | 0.4422 | 0.4491 |
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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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model.safetensors
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