voicexpai/intent-recog

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0627
-- F1: 0.9874
+- Loss: 0.0174
+- F1: 0.9934
 
 ## Model description
 
@@ -43,14 +43,13 @@ 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: 2
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 0.0449        | 1.0   | 10523 | 0.0631          | 0.9874 |
-| 0.0415        | 2.0   | 21046 | 0.0627          | 0.9874 |
+| 0.0351        | 1.0   | 10523 | 0.0174          | 0.9934 |
 
 
 ### Framework versions

pytorch_model.bin

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tokenizer.json

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training_args.bin

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