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results: []
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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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# gpt-4-est-base
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It achieves the following results on the evaluation set:
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- Loss: 3.9846
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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: 0.0003
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- train_batch_size: 6
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- eval_batch_size: 6
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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### Framework versions
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results: []
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# gpt-4-est-base
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A GPT model for Estonian, trained from scratch on 2.2 billion words (Estonian National Corpus + News Crawl + Common Crawl).
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Model details:
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- num. of layers: 12
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- num. of heads: 12
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- embedding size: 768
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- context size: 1024
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- total size: 118.68M params
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Further details to be added soon.
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### Framework versions
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