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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- AlekseyKorshuk/dalio-handwritten-io |
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metrics: |
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- accuracy |
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model-index: |
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- name: 1.3b-handwritten-v1-after-book |
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results: |
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- task: |
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name: Causal Language Modeling |
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type: text-generation |
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dataset: |
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name: AlekseyKorshuk/dalio-handwritten-io |
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type: AlekseyKorshuk/dalio-handwritten-io |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.06691769057999736 |
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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-handwritten-v1-after-book |
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This model is a fine-tuned version of [/models/1.3b-dalio-principles-book](https://huggingface.co//models/1.3b-dalio-principles-book) on the AlekseyKorshuk/dalio-handwritten-io dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0566 |
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- Accuracy: 0.0669 |
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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-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: 3.0 |
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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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| 2.3721 | 0.2 | 1 | 2.2148 | 0.0641 | |
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| 2.241 | 0.4 | 2 | 2.2148 | 0.0641 | |
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| 2.469 | 0.6 | 3 | 2.1348 | 0.0653 | |
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| 2.3735 | 0.8 | 4 | 2.1309 | 0.0648 | |
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| 2.2755 | 1.0 | 5 | 2.1133 | 0.0652 | |
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| 2.0428 | 1.2 | 6 | 2.0938 | 0.0659 | |
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| 1.764 | 1.4 | 7 | 2.0781 | 0.0659 | |
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| 1.7458 | 1.6 | 8 | 2.0781 | 0.0661 | |
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| 1.868 | 1.8 | 9 | 2.0820 | 0.0660 | |
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| 1.9548 | 2.0 | 10 | 2.0703 | 0.0663 | |
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| 1.6772 | 2.2 | 11 | 2.0605 | 0.0665 | |
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| 1.3997 | 2.4 | 12 | 2.0566 | 0.0668 | |
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| 1.3717 | 2.6 | 13 | 2.0547 | 0.0669 | |
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| 1.5284 | 2.8 | 14 | 2.0547 | 0.0667 | |
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| 1.2264 | 3.0 | 15 | 2.0566 | 0.0669 | |
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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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