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gowitheflow
/
p9-iter3

Text Classification
Transformers
PyTorch
pixel
Generated from Trainer
Inference Endpoints
Model card Files Community
gowitheflow-1998 commited on
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  1. .gitattributes +3 -0
  2. 763e176b60c0e797d0388f0145df643d884c8574fa9925151d3a1d53c46d29c8.3f28e7f4b38e1efe1b6da4a3732404c19d4c6a614ff32dce90a251e293d4ce58 +3 -0
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  17. train_results.json +8 -0
  18. trainer_state.json +103 -0
  19. training_args.bin +3 -0
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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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+ - allnli
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+ model-index:
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+ - name: 00-allnli-p9-allnli-p9-allnli-p9-allnli-old-best
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+ results: []
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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
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # 00-allnli-p9-allnli-p9-allnli-p9-allnli-old-best
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+
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+ This model is a fine-tuned version of [00-p9-allnli-p9-allnli-p9-allnli-old-best/checkpoint-26000](https://huggingface.co/00-p9-allnli-p9-allnli-p9-allnli-old-best/checkpoint-26000) on the ALLNLI dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ 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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+ - learning_rate: 3e-05
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+ - train_batch_size: 128
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+ - eval_batch_size: 16
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+ - seed: 1
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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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+ - lr_scheduler_warmup_steps: 200
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+ - training_steps: 2600
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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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+
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+ - Transformers 4.17.0
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+ - Pytorch 1.11.0
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.0
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