Hugging Face's logo

scionk
/
xlm-roberta-base-finetuned-panx-de

Token Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
1
scionk commited on
Commit
759a21d
•
1 Parent(s): 5f42ca1

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: 0.7672271678206397
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: 0.3735
36
- - F1: 0.7672
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
- | 1.2237 | 1.0 | 42 | 0.6046 | 0.5858 |
68
- | 0.4862 | 2.0 | 84 | 0.4037 | 0.7379 |
69
- | 0.319 | 3.0 | 126 | 0.3735 | 0.7672 |
70
 
71
 
72
  ### Framework versions
 
22
  metrics:
23
  - name: F1
24
  type: f1
25
+ value: 0.8145673237554293
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: 0.3468
36
+ - F1: 0.8146
37
 
38
  ## Model description
39
 
 
64
 
65
  | Training Loss | Epoch | Step | Validation Loss | F1 |
66
  |:-------------:|:-----:|:----:|:---------------:|:------:|
67
+ | 0.831 | 1.0 | 84 | 0.3900 | 0.7409 |
68
+ | 0.3148 | 2.0 | 168 | 0.3306 | 0.7948 |
69
+ | 0.2052 | 3.0 | 252 | 0.3468 | 0.8146 |
70
 
71
 
72
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:46b08e368c3bde43e0eac0daac071950800b475d238d28bd2476aa5291fbd407
3
  size 1109902377
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1f5486ea3a34519204414ef592562efc5bf29384c30fae3ecb03894bf03dc7e4
3
  size 1109902377
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6dc73bebdb307358090853a109a9971af085f28fecba1b278d331468520bd162
3
  size 4091
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7f37a919716d6fcc6f4964f04a60d9036f1e4e5e0edfb89dc8502b8bcf539a59
3
  size 4091