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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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datasets: |
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- AlekseyKorshuk/dalio-book-handwritten-io-sorted-v2 |
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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-v2 |
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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-book-handwritten-io-sorted-v2 |
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type: AlekseyKorshuk/dalio-book-handwritten-io-sorted-v2 |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.27929113140380746 |
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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-v2 |
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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 AlekseyKorshuk/dalio-book-handwritten-io-sorted-v2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4238 |
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- Accuracy: 0.2793 |
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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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| 2.5852 | 0.08 | 6 | 2.5957 | 0.2697 | |
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| 2.5956 | 0.16 | 12 | 2.5762 | 0.2706 | |
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| 2.5961 | 0.24 | 18 | 2.5547 | 0.2711 | |
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| 2.5731 | 0.32 | 24 | 2.5312 | 0.2722 | |
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| 2.5415 | 0.4 | 30 | 2.5117 | 0.2734 | |
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| 2.5168 | 0.48 | 36 | 2.4961 | 0.2746 | |
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| 2.4972 | 0.56 | 42 | 2.4824 | 0.2756 | |
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| 2.4354 | 0.64 | 48 | 2.4727 | 0.2761 | |
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| 2.4055 | 0.72 | 54 | 2.4609 | 0.2768 | |
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| 2.4681 | 0.8 | 60 | 2.4492 | 0.2778 | |
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| 2.5866 | 0.88 | 66 | 2.4355 | 0.2784 | |
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| 2.4221 | 0.96 | 72 | 2.4238 | 0.2793 | |
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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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