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README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: kaelte
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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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# kaelte
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This model is a fine-tuned version of [svalabs/gbert-large-zeroshot-nli](https://huggingface.co/svalabs/gbert-large-zeroshot-nli) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0022
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- F1: 1.0
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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: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 0.94 | 11 | 0.6783 | 0.7786 |
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| No log | 1.94 | 22 | 0.1718 | 0.9272 |
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| No log | 2.94 | 33 | 0.0769 | 0.9887 |
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| No log | 3.94 | 44 | 0.0686 | 0.9887 |
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| No log | 4.94 | 55 | 0.0227 | 0.9887 |
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| No log | 5.94 | 66 | 0.0075 | 1.0 |
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| No log | 6.94 | 77 | 0.0099 | 1.0 |
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| No log | 7.94 | 88 | 0.0025 | 1.0 |
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| No log | 8.94 | 99 | 0.0023 | 1.0 |
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| No log | 9.94 | 110 | 0.0022 | 1.0 |
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### Framework versions
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- Transformers 4.22.2
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- Pytorch 1.12.1+cu113
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- Datasets 2.5.1
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- Tokenizers 0.12.1
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