Hugging Face's logo

EndOfLe
/
fine_tuned_2e-5

Safetensors
roberta
Generated from Trainer
Model card Files Community
EndOfLe commited on
Commit
14284db
•
1 Parent(s): 4c45d3c

raid_roberta

Browse files
Files changed (3) hide show
  1. README.md +11 -14
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.0000
21
- - Accuracy: 1.0
22
 
23
  ## Model description
24
 
@@ -37,7 +37,7 @@ More information needed
37
  ### Training hyperparameters
38
 
39
  The following hyperparameters were used during training:
40
- - learning_rate: 1e-05
41
  - train_batch_size: 8
42
  - eval_batch_size: 8
43
  - seed: 42
@@ -49,17 +49,14 @@ The following hyperparameters were used during training:
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
- | 0.0632 | 0.25 | 100 | 0.0001 | 1.0 |
53
- | 0.0001 | 0.5 | 200 | 0.0000 | 1.0 |
54
- | 0.0013 | 0.75 | 300 | 0.0000 | 1.0 |
55
- | 0.0001 | 1.01 | 400 | 0.0000 | 1.0 |
56
- | 0.0 | 1.26 | 500 | 0.0000 | 1.0 |
57
- | 0.0 | 1.51 | 600 | 0.0000 | 1.0 |
58
- | 0.0 | 1.76 | 700 | 0.0000 | 1.0 |
59
- | 0.0 | 2.01 | 800 | 0.0000 | 1.0 |
60
- | 0.0 | 2.26 | 900 | 0.0000 | 1.0 |
61
- | 0.0004 | 2.51 | 1000 | 0.0000 | 1.0 |
62
- | 0.0 | 2.76 | 1100 | 0.0000 | 1.0 |
63
 
64
 
65
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.0598
21
+ - Accuracy: 0.99
22
 
23
  ## Model description
24
 
 
37
  ### Training hyperparameters
38
 
39
  The following hyperparameters were used during training:
40
+ - learning_rate: 2e-05
41
  - train_batch_size: 8
42
  - eval_batch_size: 8
43
  - seed: 42
 
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | 0.393 | 0.15 | 100 | 0.1670 | 0.97 |
53
+ | 0.2681 | 0.3 | 200 | 0.2389 | 0.9583 |
54
+ | 0.1241 | 0.44 | 300 | 0.0751 | 0.9883 |
55
+ | 0.1371 | 0.59 | 400 | 0.0506 | 0.9867 |
56
+ | 0.0888 | 0.74 | 500 | 0.0598 | 0.99 |
57
+ | 0.1169 | 0.89 | 600 | 0.0633 | 0.9917 |
58
+ | 0.0501 | 1.04 | 700 | 0.0804 | 0.9883 |
59
+ | 0.0452 | 1.19 | 800 | 0.1110 | 0.9833 |
 
 
 
60
 
61
 
62
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b46863e7947e4fda5056e440a8a6d30d9025d93d1d0a3c84aa8ee1b3dbc182f1
3
  size 1421495416
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:108bb088207be648a8aa8a208172037ec5dba08ed472ec27440fe86fdc2fa25c
3
  size 1421495416
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e84bf3cd2bb845ddcff8e24bd49674d8fadce1b028545c18b28fff75e0c543c9
3
  size 4664
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cf692306f428ce2f64f43d4d68a4159f3ec6df4910c100c210ef9c84d3b753e9
3
  size 4664