brenomatos/xlm-roberta-base-language-detection

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [papluca/xlm-roberta-base-language-detection](https://huggingface.co/papluca/xlm-roberta-base-language-detection) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0142
-- Accuracy: 0.9966
-- F1: 0.9966
+- Loss: 0.0203
+- Accuracy: 0.9961
+- F1: 0.9961
 
 ## Model description
 
@@ -45,14 +45,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.1938        | 1.0   | 1094 | 0.0142          | 0.9966   | 0.9966 |
+| 0.193         | 1.0   | 1094 | 0.0216          | 0.9959   | 0.9959 |
+| 0.0094        | 2.0   | 2188 | 0.0207          | 0.9961   | 0.9961 |
+| 0.0036        | 3.0   | 3282 | 0.0203          | 0.9961   | 0.9961 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan20_12-48-35_4f99bf91cef0/events.out.tfevents.1705754916.4f99bf91cef0.190.0

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training_args.bin

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