End of training

README.md

@@ -4,8 +4,6 @@ license: mit
 base_model: xlm-roberta-base
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: crowd_sourced_web_classifier
   results: []
@@ -17,9 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # crowd_sourced_web_classifier
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.4363
-- Accuracy: 0.6226
 
 ## Model description
 
@@ -47,18 +42,6 @@ The following hyperparameters were used during training:
 - num_epochs: 6
 - label_smoothing_factor: 0.1
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 124  | 1.6580          | 0.4835   |
-| No log        | 2.0   | 248  | 1.6012          | 0.5118   |
-| No log        | 3.0   | 372  | 1.4782          | 0.5731   |
-| No log        | 4.0   | 496  | 1.4082          | 0.5991   |
-| 1.5207        | 5.0   | 620  | 1.3994          | 0.6392   |
-| 1.5207        | 6.0   | 744  | 1.4363          | 0.6226   |
-
-
 ### Framework versions
 
 - Transformers 4.57.1

model.safetensors

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training_args.bin

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