agomberto commited on
Commit
a4f0ef7
1 Parent(s): 44e5212

Model save

Browse files
Files changed (4) hide show
  1. README.md +8 -8
  2. loss.json +1 -27
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
19
 
20
  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
- - Loss: 0.3296
23
- - Accuracy: 0.9
24
  - Recall: 0.5
25
- - Precision: 0.45
26
 
27
  ## Model description
28
 
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision |
55
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|
56
- | No log | 1.0 | 7 | 0.3508 | 0.9 | 0.5 | 0.45 |
57
- | No log | 2.0 | 14 | 0.3491 | 0.9 | 0.5 | 0.45 |
58
- | No log | 3.0 | 21 | 0.3379 | 0.9 | 0.5 | 0.45 |
59
- | No log | 4.0 | 28 | 0.3296 | 0.9 | 0.5 | 0.45 |
60
- | No log | 5.0 | 35 | 0.3365 | 0.85 | 0.4722 | 0.4474 |
61
 
62
 
63
  ### Framework versions
 
19
 
20
  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 0.6695
23
+ - Accuracy: 0.65
24
  - Recall: 0.5
25
+ - Precision: 0.325
26
 
27
  ## Model description
28
 
 
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision |
55
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|
56
+ | No log | 1.0 | 7 | 0.7025 | 0.65 | 0.5 | 0.325 |
57
+ | No log | 2.0 | 14 | 0.6968 | 0.65 | 0.5 | 0.325 |
58
+ | No log | 3.0 | 21 | 0.8017 | 0.65 | 0.5 | 0.325 |
59
+ | No log | 4.0 | 28 | 0.6836 | 0.65 | 0.5 | 0.325 |
60
+ | No log | 5.0 | 35 | 0.6695 | 0.65 | 0.5 | 0.325 |
61
 
62
 
63
  ### Framework versions
loss.json CHANGED
@@ -1,30 +1,4 @@
1
  {
2
  "train": [],
3
- "eval": [
4
- {
5
- "epoch": 1.0,
6
- "accuracy": 0.9,
7
- "loss": 0.35080939531326294
8
- },
9
- {
10
- "epoch": 2.0,
11
- "accuracy": 0.9,
12
- "loss": 0.3490695059299469
13
- },
14
- {
15
- "epoch": 3.0,
16
- "accuracy": 0.9,
17
- "loss": 0.3379020094871521
18
- },
19
- {
20
- "epoch": 4.0,
21
- "accuracy": 0.9,
22
- "loss": 0.3296380043029785
23
- },
24
- {
25
- "epoch": 5.0,
26
- "accuracy": 0.85,
27
- "loss": 0.3364652991294861
28
- }
29
- ]
30
  }
 
1
  {
2
  "train": [],
3
+ "eval": []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4
  }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b6f98b13352b323f34c12c7ec3881a04cbb99101691f317e8622a0b49b151e70
3
  size 267832560
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:39c151f763cf5a846c2a1f6ff13dd60776a13710219c35a3067baae2c001699f
3
  size 267832560
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:17efa27776306cb9e5675e2653c2d9782614913dfccfd4173f1833bec2a4b13f
3
  size 4856
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94c528769068f717edf36cff274fdb1cd2c61afbd789185e6ed2753714114762
3
  size 4856