End of training

README.md

@@ -3,6 +3,11 @@ license: apache-2.0
 base_model: google/bigbird-roberta-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: bigbird-base-setup-multiple-choice
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bigbird-base-setup-multiple-choice
 
-This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6931
+- Accuracy: 0.5015
+- Precision: 0.5015
+- Recall: 0.5026
+- F1: 0.5021
 
 ## Model description
 
@@ -41,6 +52,15 @@ The following hyperparameters were used during training:
 - num_epochs: 3
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.6946        | 1.0   | 1074 | 0.6931          | 0.5058   | 0.5062    | 0.4716 | 0.4883 |
+| 0.694         | 2.0   | 2148 | 0.6931          | 0.5030   | 0.5032    | 0.4710 | 0.4865 |
+| 0.6936        | 3.0   | 3222 | 0.6931          | 0.5015   | 0.5015    | 0.5026 | 0.5021 |
+
+
 ### Framework versions
 
 - Transformers 4.35.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:78e5de3c80d6d630140a83a6f889cbf6660a2102935d939e5f95989dbfa618e3
 size 509901812