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expert-min-pile-instruct-0.1

Text Generation
Transformers
PyTorch
gpt_neox
Generated from Trainer
text-generation-inference
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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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+ - /pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pile-instruct
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: layer_13,14,15
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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: /pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pile-instruct
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+ type: /pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pile-instruct
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 1.0
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+ ---
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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
24
+ should probably proofread and complete it, then remove this comment. -->
25
+
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+ # layer_13,14,15
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+
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+ This model is a fine-tuned version of [/pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pythia-deduped-1b-chat-base/](https://huggingface.co//pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pythia-deduped-1b-chat-base/) on the /pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pile-instruct dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 5.0430
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+ - Accuracy: 1.0
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+
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+ ## Model description
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+
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+ More information needed
36
+
37
+ ## Intended uses & limitations
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+
39
+ More information needed
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+
41
+ ## Training and evaluation data
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+
43
+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - lr_scheduler_type: linear
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+ - training_steps: 12000
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+ - Pytorch 1.12.1+gitcb6c422
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