Model save
Browse files- README.md +70 -0
- logs/events.out.tfevents.1744971085.s_005_m.2772371.12 +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_v1
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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_v1_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_v1_stsb
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This model is a fine-tuned version of [Hartunka/bert_base_km_5_v1](https://huggingface.co/Hartunka/bert_base_km_5_v1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4862
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- Pearson: 0.3395
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- Spearmanr: 0.3334
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- Combined Score: 0.3364
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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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| 2.6517 | 1.0 | 23 | 2.3255 | 0.1330 | 0.1205 | 0.1268 |
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| 1.9658 | 2.0 | 46 | 2.3461 | 0.2386 | 0.2286 | 0.2336 |
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| 1.6725 | 3.0 | 69 | 2.4374 | 0.2424 | 0.2349 | 0.2387 |
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| 1.2633 | 4.0 | 92 | 2.2394 | 0.3227 | 0.3216 | 0.3221 |
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| 0.877 | 5.0 | 115 | 2.4882 | 0.3102 | 0.3147 | 0.3125 |
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| 0.6898 | 6.0 | 138 | 2.4795 | 0.3147 | 0.3068 | 0.3107 |
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| 0.4742 | 7.0 | 161 | 2.6675 | 0.2998 | 0.2927 | 0.2963 |
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| 0.3676 | 8.0 | 184 | 2.3370 | 0.3624 | 0.3603 | 0.3614 |
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| 0.3107 | 9.0 | 207 | 2.4862 | 0.3395 | 0.3334 | 0.3364 |
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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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