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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-synthetic-io |
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metrics: |
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- accuracy |
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model-index: |
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- name: dalio-synthetic-io-1.3b |
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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-synthetic-io |
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type: AlekseyKorshuk/dalio-synthetic-io |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.06357949136406908 |
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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-synthetic-io-1.3b |
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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 AlekseyKorshuk/dalio-synthetic-io dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4961 |
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- Accuracy: 0.0636 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 16 |
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- total_eval_batch_size: 16 |
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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: 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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| 2.6941 | 0.05 | 1 | 2.6543 | 0.0622 | |
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| 2.6914 | 0.11 | 2 | 2.6543 | 0.0622 | |
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| 2.6003 | 0.16 | 3 | 2.6016 | 0.0627 | |
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| 2.5603 | 0.21 | 4 | 2.5703 | 0.0626 | |
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| 2.606 | 0.26 | 5 | 2.5508 | 0.0629 | |
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| 2.5439 | 0.32 | 6 | 2.5449 | 0.0629 | |
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| 2.4449 | 0.37 | 7 | 2.5469 | 0.0629 | |
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| 2.5422 | 0.42 | 8 | 2.5469 | 0.0630 | |
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| 2.6101 | 0.47 | 9 | 2.5410 | 0.0632 | |
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| 2.4482 | 0.53 | 10 | 2.5352 | 0.0630 | |
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| 2.501 | 0.58 | 11 | 2.5293 | 0.0631 | |
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| 2.5967 | 0.63 | 12 | 2.5215 | 0.0634 | |
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| 2.4998 | 0.68 | 13 | 2.5137 | 0.0635 | |
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| 2.5957 | 0.74 | 14 | 2.5098 | 0.0636 | |
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| 2.5967 | 0.79 | 15 | 2.5039 | 0.0639 | |
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| 2.5022 | 0.84 | 16 | 2.5 | 0.0637 | |
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| 2.4314 | 0.89 | 17 | 2.4980 | 0.0637 | |
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| 2.6279 | 0.95 | 18 | 2.4961 | 0.0636 | |
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| 2.571 | 1.0 | 19 | 2.4961 | 0.0636 | |
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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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