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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-book-handwritten-io-constant-3e-7
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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-book-handwritten-io-constant-3e-7
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This model is a fine-tuned version of [facebook/opt-6.7b](https://huggingface.co/facebook/opt-6.7b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4629
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- Accuracy: 0.3018
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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: 3e-07
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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=(0.9,0.999) 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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| 2.6398 | 0.11 | 6 | 2.5059 | 0.2987 |
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| 2.5823 | 0.21 | 12 | 2.5039 | 0.2988 |
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| 2.6128 | 0.32 | 18 | 2.4980 | 0.2991 |
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| 2.5775 | 0.43 | 24 | 2.4922 | 0.2995 |
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| 2.527 | 0.54 | 30 | 2.4863 | 0.2999 |
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| 2.5752 | 0.64 | 36 | 2.4805 | 0.3003 |
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| 2.5131 | 0.75 | 42 | 2.4746 | 0.3008 |
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| 2.4436 | 0.86 | 48 | 2.4688 | 0.3014 |
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| 2.5114 | 0.96 | 54 | 2.4629 | 0.3018 |
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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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