Training complete

README.md

@@ -1,32 +1,12 @@
 ---
-base_model: SpanBERT/spanbert-base-cased
+base_model: christti/spanbert-base-finetuned-squad
 tags:
 - generated_from_trainer
 datasets:
 - squad
-metrics:
-- f1
-- exact_match
-
-# Optional. Add this if you want to encode your eval results in a structured way.
 model-index:
 - name: spanbert-base-finetuned-squad
-  results:
-  - task:
-      type: question-answering             # Required. Example: automatic-speech-recognition
-      name: Closed-Domain Question Answering             # Optional. Example: Speech Recognition
-    dataset:
-      type: squad          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: SQuAD          # Required. A pretty name for the dataset. Example: Common Voice (French)
-      config: squad      # Optional. The name of the dataset configuration used in `load_dataset()`. Example: fr in `load_dataset("common_voice", "fr")`. See the `datasets` docs for more info: https://huggingface.co/docs/datasets/package_reference/loading_methods#datasets.load_dataset.name
-      split: validation        # Optional. Example: test
-    metrics:
-      - type: exact_match         # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 84.6168       # Required. Example: 20.90
-        name: Exact Match         # Optional. Example: Test WER
-      - type: f1         # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 91.6134       # Required. Example: 20.90
-        name: F1         # Optional. Example: Test WER
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # spanbert-base-finetuned-squad
 
-This model is a fine-tuned version of [SpanBERT/spanbert-base-cased](https://huggingface.co/SpanBERT/spanbert-base-cased) on the squad dataset.
+This model is a fine-tuned version of [christti/spanbert-base-finetuned-squad](https://huggingface.co/christti/spanbert-base-finetuned-squad) on the squad dataset.
 
 ## Model description
 
@@ -61,10 +41,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
-### Training results
-
-
-
 ### Framework versions
 
 - Transformers 4.32.1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "SpanBERT/spanbert-base-cased",
+  "_name_or_path": "christti/spanbert-base-finetuned-squad",
   "architectures": [
     "BertForQuestionAnswering"
   ],

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:e0310b93c62f45905a0b95e0957e3fa9549f82105c5907fe5e20d785106c83e6
 size 4536