Hartunka commited on
Commit
cbd797a
·
verified ·
1 Parent(s): 3ce9ff0

Model save

Browse files
README.md ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ base_model: Hartunka/bert_base_km_100_v1
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: bert_base_km_100_v1_mnli
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # bert_base_km_100_v1_mnli
17
+
18
+ This model is a fine-tuned version of [Hartunka/bert_base_km_100_v1](https://huggingface.co/Hartunka/bert_base_km_100_v1) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 1.1222
21
+ - Accuracy: 0.6404
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 5e-05
41
+ - train_batch_size: 256
42
+ - eval_batch_size: 256
43
+ - seed: 10
44
+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
45
+ - lr_scheduler_type: linear
46
+ - num_epochs: 50
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
52
+ | 0.9905 | 1.0 | 1534 | 0.9129 | 0.5679 |
53
+ | 0.8746 | 2.0 | 3068 | 0.8564 | 0.6137 |
54
+ | 0.788 | 3.0 | 4602 | 0.8095 | 0.6408 |
55
+ | 0.7016 | 4.0 | 6136 | 0.8234 | 0.6445 |
56
+ | 0.6148 | 5.0 | 7670 | 0.8329 | 0.6544 |
57
+ | 0.5236 | 6.0 | 9204 | 0.9532 | 0.6469 |
58
+ | 0.4384 | 7.0 | 10738 | 0.9941 | 0.6431 |
59
+ | 0.3583 | 8.0 | 12272 | 1.1222 | 0.6404 |
60
+
61
+
62
+ ### Framework versions
63
+
64
+ - Transformers 4.50.2
65
+ - Pytorch 2.2.1+cu121
66
+ - Datasets 2.18.0
67
+ - Tokenizers 0.21.1
logs/events.out.tfevents.1745115312.s_005_m.2796520.34 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e2fc88919e969c36f390ae838a19414acaa1164093d9519cfc0ca5a11dd23f89
3
- size 8830
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:868fc1dbc21ed7aa40fb1b8f7dc6a2bed47f06d6844c6bf63848d716cee008c8
3
+ size 9718
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e6e732d8f008a9ddb253696b78b13f22e09f68efc11540062491b29c70299547
3
  size 437956332
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:45198a6dcd5f5eed9713108ca89627a8210dc0cd8cf57c6780c64ec16728e3b8
3
  size 437956332