Delete qnli

qnli/README.md

@@ -1,73 +0,0 @@
----
-library_name: transformers
-language:
-- en
-license: apache-2.0
-base_model: google-bert/bert-base-cased
-tags:
-- generated_from_trainer
-datasets:
-- glue
-metrics:
-- accuracy
-model-index:
-- name: qnli
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE QNLI
-      type: glue
-      args: qnli
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.9110378912685337
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# qnli
-
-This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the GLUE QNLI dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.7799
-- Accuracy: 0.9110
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 10.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.49.0
-- Pytorch 2.6.0+cu118
-- Datasets 3.3.1
-- Tokenizers 0.21.0

qnli/all_results.json

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-{
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-}

qnli/config.json

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-{
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qnli/eval_results.json

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-{
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qnli/model.safetensors

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qnli/special_tokens_map.json

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-{
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qnli/tokenizer_config.json

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-{
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qnli/train_results.json

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qnli/trainer_state.json

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