End of training

README.md

@@ -21,10 +21,10 @@ should probably proofread and complete it, then remove this comment. -->
 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: 0.2187
-- F1: 0.1888
-- Precision: 0.2172
-- Recall: 0.2109
+- Accuracy: 0.2075
+- F1: 0.1943
+- Precision: 0.2025
+- Recall: 0.2019
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 1.6056        | 1.0   | 3712  | 1.6094          | 0.2093   | 0.1083 | 0.2005    | 0.2009 |
-| 1.6141        | 2.0   | 7424  | 1.6094          | 0.2131   | 0.1026 | 0.2153    | 0.2034 |
-| 1.6148        | 3.0   | 11136 | 1.6094          | 0.2187   | 0.1888 | 0.2172    | 0.2109 |
+| 1.6083        | 1.0   | 3712  | 1.6094          | 0.1981   | 0.1925 | 0.1939    | 0.1944 |
+| 1.6124        | 2.0   | 7424  | 1.6094          | 0.2050   | 0.2020 | 0.2033    | 0.2030 |
+| 1.6113        | 3.0   | 11136 | 1.6094          | 0.2075   | 0.1943 | 0.2025    | 0.2019 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:8c8e475a3070772f94fdea14b7c678f5d4c7b77c7bf55fdc99e05abbb517cdfe
 size 1421491284