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update model card README.md
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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: 6.7b-dalio-principles-book-1-epoch-1-gas-6e-6-lr
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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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# 6.7b-dalio-principles-book-1-epoch-1-gas-6e-6-lr
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This model is a fine-tuned version of [facebook/opt-6.7b](https://huggingface.co/facebook/opt-6.7b) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4121
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- Accuracy: 0.3487
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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: 6e-06
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- train_batch_size: 4
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- eval_batch_size: 4
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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: 32
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- total_eval_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- num_epochs: 1.0
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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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| 2.4875 | 0.11 | 1 | 2.5059 | 0.3397 |
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| 2.5339 | 0.22 | 2 | 2.5059 | 0.3397 |
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| 2.5161 | 0.33 | 3 | 2.5059 | 0.3397 |
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| 2.4524 | 0.44 | 4 | 2.5059 | 0.3397 |
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| 2.554 | 0.56 | 5 | 2.4785 | 0.3416 |
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| 2.4678 | 0.67 | 6 | 2.4785 | 0.3416 |
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| 2.4836 | 0.78 | 7 | 2.4473 | 0.3458 |
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| 2.4138 | 0.89 | 8 | 2.4297 | 0.3473 |
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| 2.4551 | 1.0 | 9 | 2.4121 | 0.3487 |
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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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