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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-1e-6
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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-1e-6
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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: 2.3633
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- Accuracy: 0.3103
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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: 1e-06
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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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| 2.6396 | 0.11 | 6 | 2.5039 | 0.2989 |
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| 2.5754 | 0.21 | 12 | 2.4902 | 0.2999 |
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| 2.5859 | 0.32 | 18 | 2.4648 | 0.3018 |
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| 2.5432 | 0.43 | 24 | 2.4434 | 0.3035 |
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| 2.472 | 0.54 | 30 | 2.4238 | 0.3053 |
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| 2.5184 | 0.64 | 36 | 2.4082 | 0.3064 |
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| 2.4524 | 0.75 | 42 | 2.3926 | 0.3078 |
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| 2.3876 | 0.86 | 48 | 2.3789 | 0.3092 |
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| 2.4456 | 0.96 | 54 | 2.3633 | 0.3103 |
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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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