voicexpai/intent-recog

README.md

@@ -8,7 +8,6 @@ metrics:
 model-index:
 - name: intent-recog
   results: []
-pipeline_tag: text-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,8 +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: 0.0633
-- F1: 0.0
+- Loss: 0.0588
+- F1: 0.9916
 
 ## Model description
 
@@ -48,9 +47,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | F1  |
-|:-------------:|:-----:|:-----:|:---------------:|:---:|
-| 0.0324        | 1.0   | 10523 | 0.0633          | 0.0 |
+| Training Loss | Epoch | Step  | Validation Loss | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.0738        | 1.0   | 10582 | 0.0588          | 0.9916 |
 
 
 ### Framework versions
@@ -58,4 +57,4 @@ The following hyperparameters were used during training:
 - Transformers 4.33.2
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:241079582981fa604b847955fdd7616160a3386a6389a764fb0faef07645d79e
+oid sha256:77beeace247806462fde825f6b1df72dc1e1ae4d6e26ff57fb90fd8445f22223
 size 1112255857

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6e5590be40525ac432533f65cff33b62cc73c7fe4e613698923949a7ba692873
+oid sha256:7db67e9f301305d80e99ee5e0b39a3de4f5b7725da468f9cca91e865f22ec0c9
 size 4027