Hugging Face's logo

nattkorat
/
trigger_id

Token Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
Model card Files
xet
 Community
nattkorat commited on
Commit
5ab5fdd
·
verified ·
1 Parent(s): 79a6840

Model save

Browse files
Files changed (2) hide show
  1. README.md +12 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
21
 
22
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
- - Loss: 0.1033
25
- - Accuracy: 0.9691
26
- - Precision: 0.6442
27
- - Recall: 0.6711
28
- - F1: 0.6574
29
 
30
  ## Model description
31
 
@@ -45,8 +45,8 @@ More information needed
45
 
46
  The following hyperparameters were used during training:
47
  - learning_rate: 2e-05
48
- - train_batch_size: 16
49
- - eval_batch_size: 16
50
  - seed: 42
51
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
52
  - lr_scheduler_type: linear
@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
56
 
57
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
58
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
59
- | No log | 1.0 | 51 | 0.1374 | 0.9576 | 0.7652 | 0.4995 | 0.6044 |
60
- | No log | 2.0 | 102 | 0.1140 | 0.9677 | 0.6613 | 0.5868 | 0.6218 |
61
- | No log | 3.0 | 153 | 0.1058 | 0.9690 | 0.6667 | 0.6355 | 0.6507 |
62
- | No log | 4.0 | 204 | 0.1023 | 0.9692 | 0.6449 | 0.6528 | 0.6488 |
63
- | No log | 5.0 | 255 | 0.1033 | 0.9691 | 0.6442 | 0.6711 | 0.6574 |
64
 
65
 
66
  ### Framework versions
 
21
 
22
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
+ - Loss: 0.0633
25
+ - Accuracy: 0.9777
26
+ - Precision: 0.7049
27
+ - Recall: 0.6708
28
+ - F1: 0.6875
29
 
30
  ## Model description
31
 
 
45
 
46
  The following hyperparameters were used during training:
47
  - learning_rate: 2e-05
48
+ - train_batch_size: 32
49
+ - eval_batch_size: 32
50
  - seed: 42
51
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
52
  - lr_scheduler_type: linear
 
56
 
57
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
58
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
59
+ | No log | 1.0 | 38 | 0.1591 | 0.9513 | 0.0 | 0.0 | 0.0 |
60
+ | No log | 2.0 | 76 | 0.0879 | 0.9704 | 0.6467 | 0.5761 | 0.6094 |
61
+ | No log | 3.0 | 114 | 0.0719 | 0.9764 | 0.7029 | 0.6480 | 0.6743 |
62
+ | No log | 4.0 | 152 | 0.0663 | 0.9775 | 0.6930 | 0.6791 | 0.6860 |
63
+ | No log | 5.0 | 190 | 0.0633 | 0.9777 | 0.7049 | 0.6708 | 0.6875 |
64
 
65
 
66
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2ea924ecd39622bd8747fb7fb7007e6c06c51d66fc32edc753eee09a5f55ae5e
3
  size 1109845500
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:78db856a4542826efba72fdc2128692137a720e814a3cc438ca452d6f419e07b
3
  size 1109845500