Hugging Face's logo

lenatr99
/
loha_fine_tuned_cb

PEFT
Safetensors
Generated from Trainer
Model card Files Community
lenatr99 commited on
Commit
51bf7f3
·
verified ·
1 Parent(s): 31330a7

loha_fine_tuned_cb

Browse files
Files changed (4) hide show
  1. README.md +11 -11
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
19
 
20
  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
- - Loss: 5.8911
23
  - Accuracy: 0.3182
24
- - F1: 0.2555
25
 
26
  ## Model description
27
 
@@ -40,7 +40,7 @@ More information needed
40
  ### Training hyperparameters
41
 
42
  The following hyperparameters were used during training:
43
- - learning_rate: 0.003
44
  - train_batch_size: 8
45
  - eval_batch_size: 8
46
  - seed: 42
@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
54
  |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
55
- | 0.8122 | 3.5714 | 50 | 1.9445 | 0.3182 | 0.1536 |
56
- | 0.6951 | 7.1429 | 100 | 2.3078 | 0.3182 | 0.1536 |
57
- | 0.4233 | 10.7143 | 150 | 1.7892 | 0.4545 | 0.4260 |
58
- | 0.2006 | 14.2857 | 200 | 5.9008 | 0.3182 | 0.1591 |
59
- | 0.0846 | 17.8571 | 250 | 5.5773 | 0.2727 | 0.1469 |
60
- | 0.05 | 21.4286 | 300 | 5.9074 | 0.2727 | 0.1667 |
61
- | 0.0167 | 25.0 | 350 | 5.0730 | 0.3182 | 0.2552 |
62
- | 0.0069 | 28.5714 | 400 | 5.8911 | 0.3182 | 0.2555 |
63
 
64
 
65
  ### Framework versions
 
19
 
20
  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 1.3194
23
  - Accuracy: 0.3182
24
+ - F1: 0.1536
25
 
26
  ## Model description
27
 
 
40
  ### Training hyperparameters
41
 
42
  The following hyperparameters were used during training:
43
+ - learning_rate: 2e-05
44
  - train_batch_size: 8
45
  - eval_batch_size: 8
46
  - seed: 42
 
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
54
  |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
55
+ | 1.0888 | 3.5714 | 50 | 1.0482 | 0.2727 | 0.1364 |
56
+ | 0.8883 | 7.1429 | 100 | 1.1156 | 0.3182 | 0.1536 |
57
+ | 0.808 | 10.7143 | 150 | 1.1921 | 0.3182 | 0.1536 |
58
+ | 0.732 | 14.2857 | 200 | 1.2529 | 0.3182 | 0.1536 |
59
+ | 0.7553 | 17.8571 | 250 | 1.2877 | 0.3182 | 0.1536 |
60
+ | 0.7436 | 21.4286 | 300 | 1.3078 | 0.3182 | 0.1536 |
61
+ | 0.7115 | 25.0 | 350 | 1.3167 | 0.3182 | 0.1536 |
62
+ | 0.7395 | 28.5714 | 400 | 1.3194 | 0.3182 | 0.1536 |
63
 
64
 
65
  ### Framework versions
adapter_config.json CHANGED
@@ -18,8 +18,8 @@
18
  "rank_pattern": {},
19
  "revision": null,
20
  "target_modules": [
21
- "value",
22
- "query"
23
  ],
24
  "task_type": "SEQ_CLS",
25
  "use_effective_conv2d": false
 
18
  "rank_pattern": {},
19
  "revision": null,
20
  "target_modules": [
21
+ "query",
22
+ "value"
23
  ],
24
  "task_type": "SEQ_CLS",
25
  "use_effective_conv2d": false
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3841479358e3ecb212e4c3e7d12820df721057492634f94b5e1a2a6295cdf193
3
  size 4741180
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e223d18af2cb2d986d3f685eb23b8787c79ba2a2ec0fb3f3d612c7974771c15
3
  size 4741180
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8e040cecfa5e45fa850a6489ebe5e7c09aea29487c2ea2b552ebb7a06cf35243
3
  size 4984
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8c19a42c19ed3d56c8dcf11414761b6b2556615f4c0a04c6f192f713081e6fb3
3
  size 4984