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update model card README.md
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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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- precision
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- accuracy
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- recall
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- f1
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model-index:
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- name: GatorTron-OG-bc-ctr-nli
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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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# GatorTron-OG-bc-ctr-nli
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6474
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- Precision: 0.6
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- Accuracy: 0.615
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- Recall: 0.69
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- F1: 0.6419
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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: 32
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- eval_batch_size: 32
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- seed: 42
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Accuracy | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:--------:|:------:|:------:|
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| No log | 1.0 | 54 | 0.6975 | 0.0 | 0.5 | 0.0 | 0.0 |
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| No log | 2.0 | 108 | 0.6564 | 0.6364 | 0.59 | 0.42 | 0.5060 |
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| No log | 3.0 | 162 | 0.6474 | 0.6 | 0.615 | 0.69 | 0.6419 |
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| No log | 4.0 | 216 | 0.6595 | 0.5725 | 0.6 | 0.79 | 0.6639 |
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| No log | 5.0 | 270 | 0.7759 | 0.5965 | 0.61 | 0.68 | 0.6355 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.13.1
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- Datasets 2.8.0
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- Tokenizers 0.11.0
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runs/Mar23_10-09-36_node0382.palmetto.clemson.edu/events.out.tfevents.1679580827.node0382.palmetto.clemson.edu
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 512
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