MultiPRIDE-DualEncoder-MainStage-es

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-hate-spanish](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-hate-spanish) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4885
-- Accuracy: 0.7879
-- F1: 0.4815
-- Precision: 0.3824
-- Recall: 0.65
+- Loss: 0.5555
+- Accuracy: 0.7727
+- F1: 0.375
+- Precision: 0.3214
+- Recall: 0.45
 
 ## Model description
 
@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
 - learning_rate: 2e-05
 - train_batch_size: 8
 - eval_batch_size: 8
-- seed: 85
+- seed: 150
 - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 10
@@ -55,15 +55,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.6454        | 1.0   | 77   | 0.5901          | 0.8258   | 0.2069 | 0.3333    | 0.15   |
-| 0.5871        | 2.0   | 154  | 0.5312          | 0.7803   | 0.4082 | 0.3448    | 0.5    |
-| 0.5791        | 3.0   | 231  | 0.5059          | 0.7576   | 0.4286 | 0.3333    | 0.6    |
-| 0.5135        | 4.0   | 308  | 0.4918          | 0.7803   | 0.4727 | 0.3714    | 0.65   |
-| 0.5143        | 5.0   | 385  | 0.4827          | 0.7803   | 0.4727 | 0.3714    | 0.65   |
-| 0.4846        | 6.0   | 462  | 0.4831          | 0.7879   | 0.4815 | 0.3824    | 0.65   |
-| 0.4515        | 7.0   | 539  | 0.4891          | 0.7803   | 0.4727 | 0.3714    | 0.65   |
-| 0.4799        | 8.0   | 616  | 0.4854          | 0.7803   | 0.4727 | 0.3714    | 0.65   |
-| 0.4209        | 9.0   | 693  | 0.4885          | 0.7879   | 0.4815 | 0.3824    | 0.65   |
+| 0.667         | 1.0   | 77   | 0.6045          | 0.8106   | 0.3902 | 0.3810    | 0.4    |
+| 0.5669        | 2.0   | 154  | 0.5563          | 0.7652   | 0.3922 | 0.3226    | 0.5    |
+| 0.5689        | 3.0   | 231  | 0.5566          | 0.75     | 0.2979 | 0.2593    | 0.35   |
+| 0.5191        | 4.0   | 308  | 0.5523          | 0.7652   | 0.3673 | 0.3103    | 0.45   |
+| 0.4852        | 5.0   | 385  | 0.5555          | 0.7727   | 0.375  | 0.3214    | 0.45   |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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