Model save

README.md

@@ -4,6 +4,11 @@ license: apache-2.0
 base_model: HuggingFaceTB/SmolLM2-135M
 tags:
 - generated_from_trainer
+metrics:
+- f1
+- accuracy
+- precision
+- recall
 model-index:
 - name: bias-scorer-smollm2-135m
   results: []
@@ -15,6 +20,12 @@ should probably proofread and complete it, then remove this comment. -->
 # bias-scorer-smollm2-135m
 
 This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4030
+- F1: 0.8236
+- Accuracy: 0.8297
+- Precision: 0.8205
+- Recall: 0.8297
 
 ## Model description
 
@@ -43,9 +54,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|
-| No log        | 0     | 0    | 0.7579          | 0.6515 | 0.6168   | 0.7942    | 0.6168 |
+| Training Loss | Epoch  | Step  | Validation Loss | F1     | Accuracy | Precision | Recall |
+|:-------------:|:------:|:-----:|:---------------:|:------:|:--------:|:---------:|:------:|
+| No log        | 0      | 0     | 0.6116          | 0.7504 | 0.7313   | 0.7927    | 0.7313 |
+| 0.4266        | 0.5044 | 10000 | 0.4032          | 0.8235 | 0.8297   | 0.8204    | 0.8297 |
+| 0.3763        | 1.0088 | 20000 | 0.4030          | 0.8236 | 0.8297   | 0.8205    | 0.8297 |
+| 0.3956        | 1.5132 | 30000 | 0.4030          | 0.8236 | 0.8297   | 0.8205    | 0.8297 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a012736875d81f2b758ab6146681d859c759704e73801e34801b8d503ed5a5fb
+oid sha256:85abab806db6c8b77054c6de8a202803269dab21785fad6fd900cd6f39fb6d1d
 size 269066392