Hugging Face's logo

mor40
/
BulBERT-cinexio-5epochs

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
1
mor40 commited on
Commit
993536e
•
1 Parent(s): dcd56c8

Training complete

Browse files
Files changed (2) hide show
  1. README.md +11 -11
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -1,5 +1,5 @@
1
  ---
2
- base_model: mor40/BulBERT-chitanka-model
3
  tags:
4
  - generated_from_trainer
5
  datasets:
@@ -21,7 +21,7 @@ model-index:
21
  metrics:
22
  - name: Accuracy
23
  type: accuracy
24
- value: 0.5844636251541308
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
29
 
30
  # BulBERT-cinexio-5epochs
31
 
32
- This model is a fine-tuned version of [mor40/BulBERT-chitanka-model](https://huggingface.co/mor40/BulBERT-chitanka-model) on the bgglue dataset.
33
  It achieves the following results on the evaluation set:
34
- - Loss: 1.5157
35
- - Accuracy: 0.5845
36
 
37
  ## Model description
38
 
@@ -51,7 +51,7 @@ More information needed
51
  ### Training hyperparameters
52
 
53
  The following hyperparameters were used during training:
54
- - learning_rate: 4e-05
55
  - train_batch_size: 128
56
  - eval_batch_size: 128
57
  - seed: 42
@@ -63,11 +63,11 @@ The following hyperparameters were used during training:
63
 
64
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
65
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
66
- | No log | 1.0 | 64 | 1.3080 | 0.5956 |
67
- | No log | 2.0 | 128 | 1.4107 | 0.5709 |
68
- | No log | 3.0 | 192 | 1.4825 | 0.5968 |
69
- | No log | 4.0 | 256 | 1.5070 | 0.5882 |
70
- | No log | 5.0 | 320 | 1.5157 | 0.5845 |
71
 
72
 
73
  ### Framework versions
 
1
  ---
2
+ base_model: mor40/BulBERT-finetuned-cinexio
3
  tags:
4
  - generated_from_trainer
5
  datasets:
 
21
  metrics:
22
  - name: Accuracy
23
  type: accuracy
24
+ value: 0.6165228113440198
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
29
 
30
  # BulBERT-cinexio-5epochs
31
 
32
+ This model is a fine-tuned version of [mor40/BulBERT-finetuned-cinexio](https://huggingface.co/mor40/BulBERT-finetuned-cinexio) on the bgglue dataset.
33
  It achieves the following results on the evaluation set:
34
+ - Loss: 1.1630
35
+ - Accuracy: 0.6165
36
 
37
  ## Model description
38
 
 
51
  ### Training hyperparameters
52
 
53
  The following hyperparameters were used during training:
54
+ - learning_rate: 3e-05
55
  - train_batch_size: 128
56
  - eval_batch_size: 128
57
  - seed: 42
 
63
 
64
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
65
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
66
+ | No log | 1.0 | 64 | 1.2512 | 0.6005 |
67
+ | No log | 2.0 | 128 | 1.1742 | 0.6128 |
68
+ | No log | 3.0 | 192 | 1.1584 | 0.6252 |
69
+ | No log | 4.0 | 256 | 1.1562 | 0.6202 |
70
+ | No log | 5.0 | 320 | 1.1630 | 0.6165 |
71
 
72
 
73
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6fbb8e5029eedc508024a0122463919bda8807f3baba9de155482da2310c6905
3
  size 328539761
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f533245afa14688d25f2ed45353a0f9b2a8fc0e8d4ed4bf6bf40094d712c531a
3
  size 328539761