Hugging Face's logo

0ppxnhximxr
/
xlm-roberta-base-finetuned-panx-de

Token Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
Roh Woojin commited on
Commit
af5dadd
•
1 Parent(s): c1a3097

Training completed!

Browse files
Files changed (3) hide show
  1. README.md +6 -6
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: F1
24
  type: f1
25
- value: 0.8657241810026685
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.1338
36
- - F1: 0.8657
37
 
38
  ## Model description
39
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
64
 
65
  | Training Loss | Epoch | Step | Validation Loss | F1 |
66
  |:-------------:|:-----:|:----:|:---------------:|:------:|
67
- | 0.257 | 1.0 | 525 | 0.1557 | 0.8218 |
68
- | 0.126 | 2.0 | 1050 | 0.1460 | 0.8521 |
69
- | 0.0827 | 3.0 | 1575 | 0.1338 | 0.8657 |
70
 
71
 
72
  ### Framework versions
 
22
  metrics:
23
  - name: F1
24
  type: f1
25
+ value: 0.8606487530534567
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.1409
36
+ - F1: 0.8606
37
 
38
  ## Model description
39
 
 
64
 
65
  | Training Loss | Epoch | Step | Validation Loss | F1 |
66
  |:-------------:|:-----:|:----:|:---------------:|:------:|
67
+ | 0.2572 | 1.0 | 525 | 0.1538 | 0.8187 |
68
+ | 0.1233 | 2.0 | 1050 | 0.1475 | 0.8492 |
69
+ | 0.0796 | 3.0 | 1575 | 0.1409 | 0.8606 |
70
 
71
 
72
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0bb6af6fa767df6df5c33a6af04bc6034ac7c47f4da249045e6bea26e738f879
3
  size 1109902057
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a32f11bf645d94059452ac98366a69219d59529bca416c7f9ebdb6b18708eb72
3
  size 1109902057
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:971b2bec4aea64432e00daa0bc678d539bca5b068dbbd94378e246dd8383e57d
3
  size 4091
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8a1b63358204a19cdce233458bcb6c92b8de00e6c0da11128529e01c45fbe6a2
3
  size 4091