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README.md
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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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- odinsynth_sequence_dataset
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metrics:
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- accuracy
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model-index:
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- name: odinsynth_encoder_decoder_native_hf_test
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results:
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- task:
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name:
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type:
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dataset:
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name: odinsynth_sequence_dataset
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type: odinsynth_sequence_dataset
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config: synthetic_surface
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split: validation
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args: synthetic_surface
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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# odinsynth_encoder_decoder_native_hf_test
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This model is a fine-tuned version of [](https://huggingface.co/) on the odinsynth_sequence_dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0533
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- Accuracy: 0.9332
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- enoriega/odinsynth_sequence_dataset
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metrics:
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- accuracy
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model-index:
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- name: odinsynth_encoder_decoder_native_hf_test
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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: enoriega/odinsynth_sequence_dataset synthetic_surface
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type: enoriega/odinsynth_sequence_dataset
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config: synthetic_surface
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split: validation
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args: synthetic_surface
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9332402379440391
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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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# odinsynth_encoder_decoder_native_hf_test
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the enoriega/odinsynth_sequence_dataset synthetic_surface dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0533
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- Accuracy: 0.9332
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