Model save
Browse files- README.md +66 -0
- logs/events.out.tfevents.1745322965.s_005_m.2850172.62 +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/tiny_bert_rand_100_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: tiny_bert_rand_100_v2_rte
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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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# tiny_bert_rand_100_v2_rte
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This model is a fine-tuned version of [Hartunka/tiny_bert_rand_100_v2](https://huggingface.co/Hartunka/tiny_bert_rand_100_v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1385
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- Accuracy: 0.5271
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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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| 0.7006 | 1.0 | 10 | 0.6890 | 0.5523 |
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| 0.6901 | 2.0 | 20 | 0.6870 | 0.5523 |
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| 0.6767 | 3.0 | 30 | 0.6920 | 0.5632 |
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| 0.6364 | 4.0 | 40 | 0.7453 | 0.5451 |
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| 0.5824 | 5.0 | 50 | 0.8142 | 0.5271 |
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| 0.4991 | 6.0 | 60 | 0.9068 | 0.5199 |
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| 0.3752 | 7.0 | 70 | 1.1385 | 0.5271 |
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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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