gokulsrinivasagan
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Browse files- README.md +68 -0
- logs/events.out.tfevents.1733335383.ki-g0008.1764072.22 +2 -2
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google/bert_uncased_L-4_H-128_A-2
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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: bert_uncased_L-4_H-128_A-2_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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# bert_uncased_L-4_H-128_A-2_qnli
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This model is a fine-tuned version of [google/bert_uncased_L-4_H-128_A-2](https://huggingface.co/google/bert_uncased_L-4_H-128_A-2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4378
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- Accuracy: 0.8089
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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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| 0.5299 | 1.0 | 410 | 0.4915 | 0.7730 |
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| 0.4658 | 2.0 | 820 | 0.4281 | 0.8040 |
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| 0.4407 | 3.0 | 1230 | 0.4085 | 0.8122 |
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| 0.4184 | 4.0 | 1640 | 0.4172 | 0.8115 |
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| 0.3983 | 5.0 | 2050 | 0.4166 | 0.8104 |
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| 0.3799 | 6.0 | 2460 | 0.4329 | 0.8063 |
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| 0.3614 | 7.0 | 2870 | 0.4182 | 0.8151 |
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| 0.3438 | 8.0 | 3280 | 0.4378 | 0.8089 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.2.1+cu118
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- Datasets 2.17.0
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- Tokenizers 0.20.3
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