Model save

README.md

@@ -1,43 +1,78 @@
 ---
-{}
+tags:
+- generated_from_trainer
+datasets:
+- squad_v2
+model-index:
+- name: distilbert-finetuned-uncased-squad_v2
+  results: []
 ---
 
-    ---
-    language:
-    - en
-    license: mit  
-    tags:
-    - question-answering  
-    - SQuAD
-    - BERT
-    datasets:
-    - squad
-    metrics:
-    - f1
-    - em
-
-    model-index:
-    - name: distilbert-finetuned-uncased-squad_v2
-    results:
-    - task:
-        type: question-answering
-        name: SQuAD Question Answering
-        dataset:
-        type: squad_v2
-        name: SQuAD v2
-        split: validation
-        metrics:
-        - type: f1
-        value: 26.869992349988973
-        name: F1 Score
-        - type: em  
-        value: 23.347090036216628
-        name: Exact Match
-        verified: true
-    ---
-
-    # distilbert-finetuned-uncased
-
-    This model is fine-tuned on SQuAD v2 for question answering tasks.
-
-    
+<!-- 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. -->
+
+# distilbert-finetuned-uncased-squad_v2
+
+This model was trained from scratch on the squad_v2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3332
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.6437        | 0.39  | 100  | 2.1780          |
+| 2.1596        | 0.78  | 200  | 1.6557          |
+| 1.8138        | 1.18  | 300  | 1.5683          |
+| 1.6987        | 1.57  | 400  | 1.5076          |
+| 1.6586        | 1.96  | 500  | 1.5350          |
+| 1.5957        | 1.18  | 600  | 1.4431          |
+| 1.5825        | 1.37  | 700  | 1.4955          |
+| 1.5523        | 1.57  | 800  | 1.4444          |
+| 1.5346        | 1.76  | 900  | 1.3930          |
+| 1.5098        | 1.96  | 1000 | 1.4285          |
+| 1.4632        | 2.16  | 1100 | 1.3630          |
+| 1.4468        | 2.35  | 1200 | 1.3710          |
+| 1.4343        | 2.55  | 1300 | 1.3422          |
+| 1.4225        | 2.75  | 1400 | 1.3971          |
+| 1.408         | 2.94  | 1500 | 1.4355          |
+| 1.3609        | 3.14  | 1600 | 1.3332          |
+| 1.3398        | 3.33  | 1700 | 1.3792          |
+| 1.3224        | 3.53  | 1800 | 1.4172          |
+| 1.3152        | 3.73  | 1900 | 1.3956          |
+| 1.3141        | 3.92  | 2000 | 1.3748          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3014a9d75db768507f8291c1b3167335b3af67b40e635ab2c9708ff0fdceb4cf
+oid sha256:52b840f6d7f16d80e5a037be11ca007dc767ac82e97d5ddb9bf97093c0af6b01
 size 265493026