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Update model card

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  1. README.md +17 -16
README.md CHANGED
@@ -9,24 +9,25 @@ license: mit
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  datasets:
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  - squad
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  pipeline_tag: question-answering
 
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  model-index:
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  - name: bert-sliding-window_epoch_1
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  results:
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- - task:
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  type: question-answering
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  name: Question Answering
 
 
 
 
 
 
 
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  dataset:
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  name: SQuAD
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  type: squad
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- config: plain_text
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- split: validation
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- metrics:
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- - type: exact_match
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- value: N/A
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- name: Exact Match
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- - type: f1
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- value: N/A
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- name: F1
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  ---
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  # bert-sliding-window_epoch_1
@@ -39,9 +40,9 @@ This is a fine-tuned version of [DistilBERT](https://huggingface.co/distilbert-b
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  The model was trained with the following hyperparameters:
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- - Learning Rate: 1e-05
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- - Batch Size: 32
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- - Epochs: 10
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  - Weight Decay: 0.01
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  ## Intended uses & limitations
@@ -58,9 +59,9 @@ The model was trained on the SQuAD dataset, which consists of questions posed by
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  The model was trained with the following hyperparameters:
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- * learning_rate: 1e-05
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- * batch_size: 32
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- * num_epochs: 10
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  * weight_decay: 0.01
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  ## Uses
 
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  datasets:
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  - squad
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  pipeline_tag: question-answering
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+
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  model-index:
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  - name: bert-sliding-window_epoch_1
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  results:
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+ - task:
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  type: question-answering
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  name: Question Answering
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+ metrics:
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+ - type: exact_match
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+ value: N/A # You can update this with actual metrics if available
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+ name: Exact Match
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+ - type: f1
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+ value: N/A # You can update this with actual metrics if available
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+ name: F1
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  dataset:
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  name: SQuAD
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  type: squad
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+ config: plain_text # Adding the config field
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+ split: validation # Adding the split field
 
 
 
 
 
 
 
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  ---
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  # bert-sliding-window_epoch_1
 
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  The model was trained with the following hyperparameters:
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+ - Learning Rate: 3e-05
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+ - Batch Size: 8
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+ - Epochs: 3
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  - Weight Decay: 0.01
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  ## Intended uses & limitations
 
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  The model was trained with the following hyperparameters:
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+ * learning_rate: 3e-05
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+ * batch_size: 8
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+ * num_epochs: 3
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  * weight_decay: 0.01
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  ## Uses