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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: rlt
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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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# rlt
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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: 0.0381
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- F1: 0.9901
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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 | 0.99 | 36 | 1.7080 | 0.4733 |
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| No log | 1.99 | 72 | 0.3576 | 0.9228 |
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| No log | 2.99 | 108 | 0.1345 | 0.9689 |
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| No log | 3.99 | 144 | 0.0519 | 0.9883 |
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| No log | 4.99 | 180 | 0.0410 | 0.9917 |
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| No log | 5.99 | 216 | 0.0633 | 0.9881 |
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| No log | 6.99 | 252 | 0.0398 | 0.9932 |
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| No log | 7.99 | 288 | 0.0415 | 0.9897 |
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| No log | 8.99 | 324 | 0.0424 | 0.9901 |
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| No log | 9.99 | 360 | 0.0381 | 0.9901 |
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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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