MultiPRIDE-DualEncoder-LPFT-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: 0.5394
-- Accuracy: 0.75
-- F1: 0.3774
-- Precision: 0.3030
-- Recall: 0.5
+- Loss: 0.6249
+- Accuracy: 0.8030
+- F1: 0.4583
+- Precision: 0.3929
+- Recall: 0.55
 
 ## 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: 150
+- seed: 1337
 - 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
@@ -55,11 +55,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.6809        | 1.0   | 77   | 0.6348          | 0.8182   | 0.3684 | 0.3889    | 0.35   |
-| 0.6088        | 2.0   | 154  | 0.5859          | 0.7803   | 0.4314 | 0.3548    | 0.55   |
-| 0.6123        | 3.0   | 231  | 0.5598          | 0.7652   | 0.3922 | 0.3226    | 0.5    |
-| 0.5605        | 4.0   | 308  | 0.5490          | 0.75     | 0.3529 | 0.2903    | 0.45   |
-| 0.5316        | 5.0   | 385  | 0.5394          | 0.75     | 0.3774 | 0.3030    | 0.5    |
+| 0.6889        | 1.0   | 77   | 0.6662          | 0.6667   | 0.3333 | 0.2391    | 0.55   |
+| 0.6354        | 2.0   | 154  | 0.6400          | 0.7879   | 0.2632 | 0.2778    | 0.25   |
+| 0.6131        | 3.0   | 231  | 0.6525          | 0.8409   | 0.2759 | 0.4444    | 0.2    |
+| 0.5588        | 4.0   | 308  | 0.6100          | 0.8030   | 0.4091 | 0.375     | 0.45   |
+| 0.4774        | 5.0   | 385  | 0.6230          | 0.8106   | 0.4444 | 0.4       | 0.5    |
+| 0.4569        | 6.0   | 462  | 0.6283          | 0.8106   | 0.4681 | 0.4074    | 0.55   |
+| 0.4519        | 7.0   | 539  | 0.6239          | 0.8030   | 0.4583 | 0.3929    | 0.55   |
+| 0.4671        | 8.0   | 616  | 0.6284          | 0.8106   | 0.4681 | 0.4074    | 0.55   |
+| 0.4231        | 9.0   | 693  | 0.6249          | 0.8030   | 0.4583 | 0.3929    | 0.55   |
 
 
 ### Framework versions

model.safetensors

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 size 1115770572

training_args.bin

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 size 5969