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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: dalio-1.3b-test |
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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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# dalio-1.3b-test |
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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: 2.6035 |
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- Accuracy: 0.0672 |
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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: 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: cosine |
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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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| 2.6133 | 0.08 | 1 | 2.625 | 0.0652 | |
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| 2.6199 | 0.15 | 2 | 2.625 | 0.0652 | |
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| 2.7202 | 0.23 | 3 | 2.6113 | 0.0658 | |
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| 2.6177 | 0.31 | 4 | 2.6113 | 0.0658 | |
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| 2.5422 | 0.38 | 5 | 2.5703 | 0.0661 | |
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| 2.5627 | 0.46 | 6 | 2.5566 | 0.0662 | |
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| 2.5784 | 0.54 | 7 | 2.5469 | 0.0664 | |
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| 2.5264 | 0.62 | 8 | 2.5371 | 0.0663 | |
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| 2.3396 | 0.69 | 9 | 2.5332 | 0.0670 | |
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| 2.4297 | 0.77 | 10 | 2.5273 | 0.0673 | |
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| 2.3914 | 0.85 | 11 | 2.5234 | 0.0672 | |
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| 2.429 | 0.92 | 12 | 2.5195 | 0.0671 | |
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| 2.3055 | 1.0 | 13 | 2.5117 | 0.0672 | |
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| 1.7162 | 1.08 | 14 | 2.5215 | 0.0672 | |
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| 1.7264 | 1.15 | 15 | 2.5469 | 0.0677 | |
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| 1.7559 | 1.23 | 16 | 2.5879 | 0.0671 | |
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| 1.7899 | 1.31 | 17 | 2.6113 | 0.0667 | |
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| 1.6465 | 1.38 | 18 | 2.6191 | 0.0666 | |
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| 1.5955 | 1.46 | 19 | 2.6074 | 0.0671 | |
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| 1.5389 | 1.54 | 20 | 2.5957 | 0.0672 | |
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| 1.5356 | 1.62 | 21 | 2.5859 | 0.0670 | |
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| 1.386 | 1.69 | 22 | 2.5820 | 0.0672 | |
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| 1.7698 | 1.77 | 23 | 2.5742 | 0.0670 | |
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| 1.3923 | 1.85 | 24 | 2.5801 | 0.0669 | |
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| 1.4723 | 1.92 | 25 | 2.5898 | 0.0672 | |
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| 1.5653 | 2.0 | 26 | 2.6035 | 0.0672 | |
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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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