Hugging Face's logo

eskayML
/
electra_interview_new

Text Classification
Transformers
TensorBoard
Safetensors
electra
Generated from Trainer
Model card Files
xet
Metrics Community
eskayML commited on
Commit
d1080a5
·
verified ·
1 Parent(s): 9f57adb

eskayML/electra_interview_new

Browse files
Files changed (4) hide show
  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. runs/Oct12_22-41-05_d927312f0386/events.out.tfevents.1728772865.d927312f0386.419.1 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [mrm8488/electra-small-finetuned-squadv2](https://huggingface.co/mrm8488/electra-small-finetuned-squadv2) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 1.4404
22
- - Accuracy: 0.5658
23
 
24
  ## Model description
25
 
@@ -50,21 +50,21 @@ The following hyperparameters were used during training:
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
53
- | 2.7407 | 1.0 | 759 | 2.4745 | 0.2270 |
54
- | 2.4522 | 2.0 | 1518 | 2.4164 | 0.2270 |
55
- | 2.4115 | 3.0 | 2277 | 2.3080 | 0.25 |
56
- | 2.2666 | 4.0 | 3036 | 2.1030 | 0.3947 |
57
- | 2.1421 | 5.0 | 3795 | 1.9180 | 0.4342 |
58
- | 1.9628 | 6.0 | 4554 | 1.7503 | 0.4836 |
59
- | 1.8452 | 7.0 | 5313 | 1.5931 | 0.5164 |
60
- | 1.7014 | 8.0 | 6072 | 1.5194 | 0.5691 |
61
- | 1.6226 | 9.0 | 6831 | 1.4557 | 0.5592 |
62
- | 1.5557 | 10.0 | 7590 | 1.4404 | 0.5658 |
63
 
64
 
65
  ### Framework versions
66
 
67
  - Transformers 4.44.2
68
- - Pytorch 2.4.0+cu121
69
- - Datasets 3.0.0
70
  - Tokenizers 0.19.1
 
18
 
19
  This model is a fine-tuned version of [mrm8488/electra-small-finetuned-squadv2](https://huggingface.co/mrm8488/electra-small-finetuned-squadv2) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 2.3959
22
+ - Accuracy: 0.2675
23
 
24
  ## Model description
25
 
 
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
53
+ | No log | 1.0 | 380 | 2.6074 | 0.2266 |
54
+ | 2.7429 | 2.0 | 760 | 2.4872 | 0.2266 |
55
+ | 2.5203 | 3.0 | 1140 | 2.4483 | 0.2266 |
56
+ | 2.4479 | 4.0 | 1520 | 2.4349 | 0.2266 |
57
+ | 2.4479 | 5.0 | 1900 | 2.4114 | 0.2306 |
58
+ | 2.3919 | 6.0 | 2280 | 2.3933 | 0.2424 |
59
+ | 2.2714 | 7.0 | 2660 | 2.3914 | 0.2530 |
60
+ | 2.1536 | 8.0 | 3040 | 2.3968 | 0.2714 |
61
+ | 2.1536 | 9.0 | 3420 | 2.3913 | 0.2648 |
62
+ | 2.1058 | 10.0 | 3800 | 2.3959 | 0.2675 |
63
 
64
 
65
  ### Framework versions
66
 
67
  - Transformers 4.44.2
68
+ - Pytorch 2.4.1+cu121
69
+ - Datasets 3.0.1
70
  - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ade0e6a5e7dc819af1684a872a6e37e93904d90f4914e91584f8700fc9416d48
3
  size 54239712
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:32a787c62a68c4edf191c25b81828f9bfa6b04143e2c06ea1ca0a61109ec1912
3
  size 54239712
runs/Oct12_22-41-05_d927312f0386/events.out.tfevents.1728772865.d927312f0386.419.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b48e802b28b78c3981a41f4a73799142e52fea6da12478d49e4b79c184e35cd5
3
+ size 11178
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cd4923ee8086281547d04101798c05f16b4dabaf8621510e6bd400c47b107600
3
  size 5240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:87d473bb239836d3c278ca4bc54501ef0abc689b9f6d2463e5a0867d8caa5240
3
  size 5240