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distilbert_rand_10_v1_stsb
Hartunka/distilbert_rand_10_v1_stsb
distilbert_rand_10_v1_stsb is a text classification model from Hartunka. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Apr 17, 2025
- Updated
- Apr 17, 2025
- SHA
- 4097b43d
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Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
distilbert_rand_10_v1_stsb
This model is a fine-tuned version of Hartunka/distilbert_rand_10_v1 on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 2.3023
- Pearson: 0.2627
- Spearmanr: 0.2492
- Combined Score: 0.2560
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 10
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
|---|---|---|---|---|---|---|
| 2.7957 | 1.0 | 23 | 2.4697 | 0.1288 | 0.1025 | 0.1157 |
| 1.9109 | 2.0 | 46 | 2.3163 | 0.2022 | 0.1810 | 0.1916 |
| 1.6472 | 3.0 | 69 | 2.3023 | 0.2627 | 0.2492 | 0.2560 |
| 1.2862 | 4.0 | 92 | 2.3397 | 0.3050 | 0.2967 | 0.3008 |
| 0.9605 | 5.0 | 115 | 2.6706 | 0.3056 | 0.2969 | 0.3013 |
| 0.6815 | 6.0 | 138 | 2.3110 | 0.3523 | 0.3516 | 0.3519 |
| 0.5565 | 7.0 | 161 | 2.5342 | 0.3425 | 0.3427 | 0.3426 |
| 0.4389 | 8.0 | 184 | 2.6022 | 0.3414 | 0.3383 | 0.3398 |
Framework versions
- Transformers 4.50.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- en
- Created
- Apr 17, 2025
- Updated
- Apr 17, 2025