Hugging Face's logo

kearney
/
office-character

Text Classification
Transformers
PyTorch
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Community
6
kearney commited on
Commit
bdfcdd9
·
1 Parent(s): 81b36e0

End of training

Browse files
Files changed (3) hide show
  1. README.md +11 -10
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 2.4938
22
- - Accuracy: 0.1487
23
- - F1: 0.1387
24
 
25
  ## Model description
26
 
@@ -45,18 +45,19 @@ The following hyperparameters were used during training:
45
  - seed: 42
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
  - lr_scheduler_type: linear
48
- - num_epochs: 1.0
49
 
50
  ### Training results
51
 
52
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
53
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
54
- | 2.557 | 0.15 | 100 | 2.5581 | 0.1078 | 0.0639 |
55
- | 2.5185 | 0.31 | 200 | 2.5136 | 0.1223 | 0.0990 |
56
- | 2.4336 | 0.46 | 300 | 2.4953 | 0.1394 | 0.1163 |
57
- | 2.3705 | 0.62 | 400 | 2.4926 | 0.1373 | 0.1292 |
58
- | 2.3217 | 0.77 | 500 | 2.4875 | 0.1539 | 0.1496 |
59
- | 2.2475 | 0.92 | 600 | 2.4938 | 0.1487 | 0.1387 |
 
60
 
61
 
62
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 2.4745
22
+ - Accuracy: 0.1565
23
+ - F1: 0.1477
24
 
25
  ## Model description
26
 
 
45
  - seed: 42
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
  - lr_scheduler_type: linear
48
+ - num_epochs: 2.0
49
 
50
  ### Training results
51
 
52
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
53
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
54
+ | 2.5676 | 0.26 | 100 | 2.5803 | 0.0774 | 0.0111 |
55
+ | 2.5531 | 0.51 | 200 | 2.5176 | 0.1252 | 0.0967 |
56
+ | 2.5032 | 0.77 | 300 | 2.4914 | 0.1322 | 0.1155 |
57
+ | 2.4291 | 1.03 | 400 | 2.4709 | 0.1391 | 0.1223 |
58
+ | 2.2983 | 1.28 | 500 | 2.4680 | 0.1504 | 0.1415 |
59
+ | 2.2439 | 1.54 | 600 | 2.4774 | 0.1478 | 0.1415 |
60
+ | 2.1867 | 1.79 | 700 | 2.4745 | 0.1565 | 0.1477 |
61
 
62
 
63
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:20bc5dca3f8bab836af700616ef335d63e9401173360dd470c8acebed8146c48
3
  size 267869476
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5bdb47c2f446d1fdc8b5becd2b32bdc1af741ff4862e7a82a58fef918a644000
3
  size 267869476
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9df876036232d55ce1a32d427f9a437a6a940d2c72a03e2a0bb74b206e76c4e1
3
  size 4027
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3f7489c5749f7cf93499bab4af3f96c15fadd2e4849bf96971178f85ccbade08
3
  size 4027