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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: BEE-spoke-data/tFINE-680m-e32-d16-gqa-1024 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: tFINE-680m-e32-d16-gqa-1024-flan-subsets-deduped-1024 |
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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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# tFINE-680m-e32-d16-gqa-1024-flan-subsets-deduped-1024 |
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This model is a fine-tuned version of [BEE-spoke-data/tFINE-680m-e32-d16-gqa-1024](https://huggingface.co./BEE-spoke-data/tFINE-680m-e32-d16-gqa-1024) on an unknown dataset. |
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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: 8e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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- seed: 17868 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 256 |
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- total_eval_batch_size: 4 |
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- optimizer: Use paged_ademamix_32bit and the args are: |
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No additional optimizer arguments |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 1.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.46.0.dev0 |
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- Pytorch 2.4.1+cu124 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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