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README.md
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---
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license: other
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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: 1.3b-dalio-principles-book
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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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# 1.3b-dalio-principles-book
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This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4512
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- Accuracy: 0.4741
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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: 7e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 8
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- total_eval_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 2.0
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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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| 2.6914 | 0.14 | 1 | 2.6895 | 0.4477 |
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| 2.6897 | 0.29 | 2 | 2.6895 | 0.4477 |
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| 2.668 | 0.43 | 3 | 2.7031 | 0.4403 |
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| 2.7434 | 0.57 | 4 | 2.5918 | 0.4533 |
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| 2.6265 | 0.71 | 5 | 2.5410 | 0.4618 |
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| 2.5259 | 0.86 | 6 | 2.5156 | 0.4641 |
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| 2.5566 | 1.0 | 7 | 2.4902 | 0.4667 |
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| 2.2317 | 1.14 | 8 | 2.4766 | 0.4707 |
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| 2.2397 | 1.29 | 9 | 2.4727 | 0.4705 |
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| 2.0162 | 1.43 | 10 | 2.4766 | 0.4690 |
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| 2.0537 | 1.57 | 11 | 2.4805 | 0.4707 |
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| 2.1432 | 1.71 | 12 | 2.4707 | 0.4714 |
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| 2.0822 | 1.86 | 13 | 2.4570 | 0.4724 |
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| 1.9056 | 2.0 | 14 | 2.4512 | 0.4741 |
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### Framework versions
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- Transformers 4.25.0.dev0
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- Pytorch 1.12.1+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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