End of training

README.md

@@ -3,6 +3,11 @@ license: mit
 base_model: LIAMF-USP/roberta-large-finetuned-race
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
 model-index:
 - name: roberta-mqa-rat
   results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 # roberta-mqa-rat
 
 This model is a fine-tuned version of [LIAMF-USP/roberta-large-finetuned-race](https://huggingface.co/LIAMF-USP/roberta-large-finetuned-race) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6094
+- Accuracy: 0.2144
+- F1: 0.1861
+- Precision: 0.2104
+- Recall: 0.2059
 
 ## 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 | F1     | Precision | Recall |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 1.6189        | 1.0   | 3712  | 1.6094          | 0.2097   | 0.0731 | 0.0854    | 0.1997 |
+| 1.6176        | 2.0   | 7424  | 1.6094          | 0.2084   | 0.0971 | 0.1999    | 0.1982 |
+| 1.6154        | 3.0   | 11136 | 1.6094          | 0.2144   | 0.1861 | 0.2104    | 0.2059 |
+
+
 ### Framework versions
 
 - Transformers 4.40.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9165b54f72fefa173ba803e192632bc808d6952e3c85c84b945ac4a55d310e5f
 size 1421491284