param-bharat commited on
Commit
d386bc4
·
verified ·
1 Parent(s): 56a4c34

Model save

Browse files
Files changed (2) hide show
  1. README.md +16 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [huggingface/CodeBERTa-small-v1](https://huggingface.co/huggingface/CodeBERTa-small-v1) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.0041
24
- - F1: 1.0
25
- - Accuracy: 1.0
26
- - Precision: 1.0
27
- - Recall: 1.0
28
 
29
  ## Model description
30
 
@@ -50,15 +50,20 @@ The following hyperparameters were used during training:
50
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
51
  - lr_scheduler_type: cosine
52
  - lr_scheduler_warmup_ratio: 0.1
53
- - training_steps: 100
54
 
55
  ### Training results
56
 
57
- | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall |
58
- |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|
59
- | No log | 0 | 0 | 0.6985 | 0.3223 | 0.49 | 0.2401 | 0.49 |
60
- | 0.0001 | 12.5 | 50 | 0.0044 | 1.0 | 1.0 | 1.0 | 1.0 |
61
- | 0.0001 | 25.0 | 100 | 0.0041 | 1.0 | 1.0 | 1.0 | 1.0 |
 
 
 
 
 
62
 
63
 
64
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [huggingface/CodeBERTa-small-v1](https://huggingface.co/huggingface/CodeBERTa-small-v1) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.0171
24
+ - F1: 0.9975
25
+ - Accuracy: 0.9975
26
+ - Precision: 0.9975
27
+ - Recall: 0.9975
28
 
29
  ## Model description
30
 
 
50
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
51
  - lr_scheduler_type: cosine
52
  - lr_scheduler_warmup_ratio: 0.1
53
+ - num_epochs: 1
54
 
55
  ### Training results
56
 
57
+ | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall |
58
+ |:-------------:|:------:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|
59
+ | No log | 0 | 0 | 0.6981 | 0.3337 | 0.5001 | 0.6162 | 0.5001 |
60
+ | 0.0294 | 0.1420 | 1000 | 0.0398 | 0.9947 | 0.9947 | 0.9947 | 0.9947 |
61
+ | 0.0076 | 0.2841 | 2000 | 0.0211 | 0.9968 | 0.9968 | 0.9968 | 0.9968 |
62
+ | 0.0053 | 0.4261 | 3000 | 0.0188 | 0.9973 | 0.9973 | 0.9973 | 0.9973 |
63
+ | 0.0056 | 0.5681 | 4000 | 0.0166 | 0.9976 | 0.9976 | 0.9976 | 0.9976 |
64
+ | 0.0044 | 0.7101 | 5000 | 0.0172 | 0.9975 | 0.9975 | 0.9975 | 0.9975 |
65
+ | 0.0009 | 0.8522 | 6000 | 0.0171 | 0.9975 | 0.9975 | 0.9975 | 0.9975 |
66
+ | 0.0052 | 0.9942 | 7000 | 0.0171 | 0.9975 | 0.9975 | 0.9975 | 0.9975 |
67
 
68
 
69
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7ed1b6ac966d26401991563486e96ffeb0db29524abdd2359e021e9f7935639c
3
  size 166917412
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8faf588219b1a6f558bfe2063e6be08580cb5701573286896a908d8e691f9ddf
3
  size 166917412