c-ho commited on
Commit
44a4548
·
verified ·
1 Parent(s): 4becc0a

c-ho/academic_main_text_classifier_de

Browse files
Files changed (2) hide show
  1. README.md +11 -11
  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 [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
- - Loss: 0.2806
25
- - Accuracy: 0.9147
26
- - Precision: 0.9147
27
- - Recall: 0.9147
28
- - F1: 0.9147
29
 
30
  ## Model description
31
 
@@ -44,7 +44,7 @@ More information needed
44
  ### Training hyperparameters
45
 
46
  The following hyperparameters were used during training:
47
- - learning_rate: 1e-05
48
  - train_batch_size: 32
49
  - eval_batch_size: 64
50
  - seed: 42
@@ -57,11 +57,11 @@ The following hyperparameters were used during training:
57
 
58
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
59
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
60
- | 1.1286 | 1.0 | 268 | 0.5176 | 0.8354 | 0.8354 | 0.8354 | 0.8354 |
61
- | 0.5628 | 2.0 | 536 | 0.3287 | 0.8998 | 0.8998 | 0.8998 | 0.8998 |
62
- | 0.3064 | 3.0 | 804 | 0.2835 | 0.9091 | 0.9091 | 0.9091 | 0.9091 |
63
- | 0.2472 | 4.0 | 1072 | 0.2922 | 0.9152 | 0.9152 | 0.9152 | 0.9152 |
64
- | 0.2236 | 5.0 | 1340 | 0.2806 | 0.9147 | 0.9147 | 0.9147 | 0.9147 |
65
 
66
 
67
  ### Framework versions
 
21
 
22
  This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
+ - Loss: 0.3391
25
+ - Accuracy: 0.9254
26
+ - Precision: 0.9254
27
+ - Recall: 0.9254
28
+ - F1: 0.9254
29
 
30
  ## Model description
31
 
 
44
  ### Training hyperparameters
45
 
46
  The following hyperparameters were used during training:
47
+ - learning_rate: 3e-05
48
  - train_batch_size: 32
49
  - eval_batch_size: 64
50
  - seed: 42
 
57
 
58
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
59
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
60
+ | 0.9051 | 1.0 | 268 | 0.4540 | 0.8490 | 0.8490 | 0.8490 | 0.8490 |
61
+ | 0.4243 | 2.0 | 536 | 0.3658 | 0.9012 | 0.9012 | 0.9012 | 0.9012 |
62
+ | 0.2644 | 3.0 | 804 | 0.3050 | 0.9175 | 0.9175 | 0.9175 | 0.9175 |
63
+ | 0.1841 | 4.0 | 1072 | 0.2811 | 0.9263 | 0.9263 | 0.9263 | 0.9263 |
64
+ | 0.1702 | 5.0 | 1340 | 0.3391 | 0.9254 | 0.9254 | 0.9254 | 0.9254 |
65
 
66
 
67
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d4d04b82135ee9037de4493e7fa3c3518fbc1a7d6bfc75061536c6115860485d
3
  size 1112211160
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6412fe879b1bf01dcdc40f43a8beb4e63b742e5cec754466d5fa50fe3e95b178
3
  size 1112211160