Model save
Browse files- README.md +66 -0
- logs/events.out.tfevents.1745361374.s_005_m.2850345.130 +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/distilbert_rand_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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model-index:
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- name: distilbert_rand_20_v2_qnli
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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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# distilbert_rand_20_v2_qnli
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This model is a fine-tuned version of [Hartunka/distilbert_rand_20_v2](https://huggingface.co/Hartunka/distilbert_rand_20_v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2922
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- Accuracy: 0.6315
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.664 | 1.0 | 410 | 0.6415 | 0.6291 |
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| 0.6251 | 2.0 | 820 | 0.6374 | 0.6357 |
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| 0.5585 | 3.0 | 1230 | 0.6591 | 0.6286 |
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| 0.4549 | 4.0 | 1640 | 0.7202 | 0.6341 |
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| 0.3405 | 5.0 | 2050 | 0.8814 | 0.6301 |
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| 0.2441 | 6.0 | 2460 | 1.0931 | 0.6310 |
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| 0.1814 | 7.0 | 2870 | 1.2922 | 0.6315 |
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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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