Hugging Face's logo

kiethuynhanh
/
mamba_text_classification

Transformers
Generated from Trainer
Model card Files
xet
Community
diet commited on
Commit
0a57e34
·
verified ·
1 Parent(s): 1d7c90c

Training complete

Browse files
Files changed (2) hide show
  1. pytorch_model.bin +1 -1
  2. README.md +12 -12
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f2f25729e371cf79e7fcfc159d727578ceb6041258e6a9599724fff9e635871f
3
  size 516640530
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5376b0d04dc54548daa3e70c43320257e76fc39a501ea72ebef35c1bafb46ebd
3
  size 516640530
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model was trained from scratch on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 0.2119
20
- - Accuracy: 0.95
21
 
22
  ## Model description
23
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
- | 0.0034 | 0.1 | 625 | 0.3683 | 0.9036 |
53
- | 2.7471 | 0.2 | 1250 | 0.2498 | 0.9268 |
54
- | 0.0069 | 0.3 | 1875 | 0.2608 | 0.9312 |
55
- | 0.001 | 0.4 | 2500 | 0.2577 | 0.9384 |
56
- | 0.0002 | 0.5 | 3125 | 0.2309 | 0.9472 |
57
- | 2.8185 | 0.6 | 3750 | 0.2140 | 0.9484 |
58
- | 0.0068 | 0.7 | 4375 | 0.2252 | 0.9448 |
59
- | 0.0019 | 0.8 | 5000 | 0.2280 | 0.948 |
60
- | 0.0139 | 0.9 | 5625 | 0.2130 | 0.9492 |
61
- | 0.1324 | 1.0 | 6250 | 0.2119 | 0.95 |
62
 
63
 
64
  ### Framework versions
 
16
 
17
  This model was trained from scratch on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 0.2028
20
+ - Accuracy: 0.9456
21
 
22
  ## Model description
23
 
 
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | 0.0068 | 0.1 | 625 | 0.2555 | 0.92 |
53
+ | 2.1804 | 0.2 | 1250 | 0.2256 | 0.928 |
54
+ | 0.0476 | 0.3 | 1875 | 0.2756 | 0.9264 |
55
+ | 0.0076 | 0.4 | 2500 | 0.2542 | 0.9324 |
56
+ | 0.0135 | 0.5 | 3125 | 0.2057 | 0.9376 |
57
+ | 1.1704 | 0.6 | 3750 | 0.2243 | 0.9364 |
58
+ | 2.2951 | 0.7 | 4375 | 0.2177 | 0.9404 |
59
+ | 0.0069 | 0.8 | 5000 | 0.2136 | 0.938 |
60
+ | 0.0039 | 0.9 | 5625 | 0.1977 | 0.9448 |
61
+ | 0.1154 | 1.0 | 6250 | 0.2028 | 0.9456 |
62
 
63
 
64
  ### Framework versions