End of training

README.md

@@ -3,6 +3,11 @@ license: apache-2.0
 base_model: studio-ousia/luke-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: luke-base-fp16-paper-setup
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # luke-base-fp16-paper-setup
 
-This model is a fine-tuned version of [studio-ousia/luke-base](https://huggingface.co/studio-ousia/luke-base) on an unknown dataset.
+This model is a fine-tuned version of [studio-ousia/luke-base](https://huggingface.co/studio-ousia/luke-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3800
+- Accuracy: 0.8426
+- Precision: 0.8465
+- Recall: 0.8370
+- F1: 0.8417
 
 ## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5192        | 1.0   | 1074 | 0.4464          | 0.8063   | 0.8263    | 0.7756 | 0.8001 |
+| 0.3708        | 2.0   | 2148 | 0.3782          | 0.8315   | 0.8365    | 0.8241 | 0.8303 |
+| 0.3191        | 3.0   | 3222 | 0.3800          | 0.8426   | 0.8465    | 0.8370 | 0.8417 |
+
+
 ### Framework versions
 
 - Transformers 4.36.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f88e4d5b3ffd43b98a8d197a423219956df96e4c2ddc7ba505b0f47c9a794f69
 size 1098044764