Hugging Face's logo

thainq107
/
bert-base-banking77-pt2

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
2
thainq107 commited on
Commit
5943479
•
1 Parent(s): ba91211

End of training

Browse files
Files changed (3) hide show
  1. README.md +11 -11
  2. logs/events.out.tfevents.1694141215.serverailab12gb-System-Product-Name.2489536.0 +2 -2
  3. pytorch_model.bin +1 -1
README.md CHANGED
@@ -21,7 +21,7 @@ model-index:
21
  metrics:
22
  - name: F1
23
  type: f1
24
- value: 0.9231109184950563
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
31
 
32
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the banking77 dataset.
33
  It achieves the following results on the evaluation set:
34
- - Loss: 0.3604
35
- - F1: 0.9231
36
 
37
  ## Model description
38
 
@@ -52,8 +52,8 @@ More information needed
52
 
53
  The following hyperparameters were used during training:
54
  - learning_rate: 5e-05
55
- - train_batch_size: 64
56
- - eval_batch_size: 64
57
  - seed: 42
58
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
59
  - lr_scheduler_type: linear
@@ -63,16 +63,16 @@ The following hyperparameters were used during training:
63
 
64
  | Training Loss | Epoch | Step | Validation Loss | F1 |
65
  |:-------------:|:-----:|:----:|:---------------:|:------:|
66
- | No log | 1.0 | 157 | 1.8492 | 0.6818 |
67
- | 2.8429 | 2.0 | 314 | 0.7977 | 0.8704 |
68
- | 0.8817 | 3.0 | 471 | 0.4966 | 0.9071 |
69
- | 0.3842 | 4.0 | 628 | 0.3884 | 0.9196 |
70
- | 0.3842 | 5.0 | 785 | 0.3604 | 0.9231 |
71
 
72
 
73
  ### Framework versions
74
 
75
  - Transformers 4.27.1
76
- - Pytorch 2.0.1+cu118
77
  - Datasets 2.9.0
78
  - Tokenizers 0.13.3
 
21
  metrics:
22
  - name: F1
23
  type: f1
24
+ value: 0.9311734343722707
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
31
 
32
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the banking77 dataset.
33
  It achieves the following results on the evaluation set:
34
+ - Loss: 0.2844
35
+ - F1: 0.9312
36
 
37
  ## Model description
38
 
 
52
 
53
  The following hyperparameters were used during training:
54
  - learning_rate: 5e-05
55
+ - train_batch_size: 32
56
+ - eval_batch_size: 32
57
  - seed: 42
58
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
59
  - lr_scheduler_type: linear
 
63
 
64
  | Training Loss | Epoch | Step | Validation Loss | F1 |
65
  |:-------------:|:-----:|:----:|:---------------:|:------:|
66
+ | 3.2215 | 1.0 | 313 | 1.1811 | 0.7646 |
67
+ | 0.6252 | 2.0 | 626 | 0.4665 | 0.9120 |
68
+ | 0.3323 | 3.0 | 939 | 0.3294 | 0.9281 |
69
+ | 0.1446 | 4.0 | 1252 | 0.3051 | 0.9267 |
70
+ | 0.0994 | 5.0 | 1565 | 0.2844 | 0.9312 |
71
 
72
 
73
  ### Framework versions
74
 
75
  - Transformers 4.27.1
76
+ - Pytorch 2.0.1
77
  - Datasets 2.9.0
78
  - Tokenizers 0.13.3
logs/events.out.tfevents.1694141215.serverailab12gb-System-Product-Name.2489536.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ed9eb20c53740a9290cb47bf5845448201ac5eecc3513f251f928f6f5d4f6441
3
- size 11510
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:161443fcf27eb394e7b2514c4e1fcbbe4138e9e0d370e11a5eb500cf9e9633c6
3
+ size 12338
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ea686b022099487ad925a9a8cd5cfaaca2375cfc5fd9c21c6497268b36275e66
3
  size 438238581
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e0f41d31130e9b496725168b754360ac2accbed14759e798ea3a8fa7cab42f29
3
  size 438238581