Model save
Browse files- README.md +70 -0
- logs/events.out.tfevents.1745167749.s_005_m.2796520.102 +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_rand_50_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_rand_50_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_rand_50_v1_stsb
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This model is a fine-tuned version of [Hartunka/bert_base_rand_50_v1](https://huggingface.co/Hartunka/bert_base_rand_50_v1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.5409
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- Pearson: 0.2620
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- Spearmanr: 0.2639
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- Combined Score: 0.2630
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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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| 3.0174 | 1.0 | 23 | 2.9030 | 0.0773 | 0.0674 | 0.0724 |
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| 2.0319 | 2.0 | 46 | 2.4340 | 0.1690 | 0.1495 | 0.1593 |
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| 1.7905 | 3.0 | 69 | 2.3889 | 0.2034 | 0.1918 | 0.1976 |
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| 1.467 | 4.0 | 92 | 2.2715 | 0.2635 | 0.2600 | 0.2618 |
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| 1.1681 | 5.0 | 115 | 2.4279 | 0.2436 | 0.2402 | 0.2419 |
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| 1.0229 | 6.0 | 138 | 2.8679 | 0.2669 | 0.2723 | 0.2696 |
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| 0.7645 | 7.0 | 161 | 2.5480 | 0.2725 | 0.2734 | 0.2730 |
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| 0.6161 | 8.0 | 184 | 2.8213 | 0.2753 | 0.2854 | 0.2804 |
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| 0.4918 | 9.0 | 207 | 2.5409 | 0.2620 | 0.2639 | 0.2630 |
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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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logs/events.out.tfevents.1745167749.s_005_m.2796520.102
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model.safetensors
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