Hugging Face's logo

akashjoy
/
distilbert-base-uncased-finetuned-airline-sentiment-tweets

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
akashjoy commited on
Commit
0598524
•
1 Parent(s): b9e8fc4

Training completed!

Browse files
Files changed (4) hide show
  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Mar26_12-21-18_HeX/events.out.tfevents.1711470078.HeX.21100.0 +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 [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: 0.4263
22
- - F1: 0.8517
23
  - Accuracy: 0.8611
24
 
25
  ## Model description
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
51
 
52
  | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
53
  |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
54
- | 0.6941 | 1.0 | 37 | 0.5893 | 0.6562 | 0.7599 |
55
- | 0.4702 | 2.0 | 74 | 0.4036 | 0.8273 | 0.8559 |
56
- | 0.3246 | 3.0 | 111 | 0.3389 | 0.8563 | 0.8645 |
57
- | 0.2341 | 4.0 | 148 | 0.3554 | 0.8518 | 0.8645 |
58
- | 0.1846 | 5.0 | 185 | 0.3678 | 0.8555 | 0.8662 |
59
- | 0.136 | 6.0 | 222 | 0.4012 | 0.8548 | 0.8679 |
60
- | 0.1087 | 7.0 | 259 | 0.3878 | 0.8680 | 0.8748 |
61
- | 0.0876 | 8.0 | 296 | 0.4014 | 0.8641 | 0.8714 |
62
- | 0.0736 | 9.0 | 333 | 0.4162 | 0.8584 | 0.8662 |
63
- | 0.0651 | 10.0 | 370 | 0.4263 | 0.8517 | 0.8611 |
64
 
65
 
66
  ### 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: 0.4399
22
+ - F1: 0.8493
23
  - Accuracy: 0.8611
24
 
25
  ## Model description
 
51
 
52
  | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
53
  |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
54
+ | 0.7149 | 1.0 | 37 | 0.6176 | 0.6562 | 0.7599 |
55
+ | 0.4767 | 2.0 | 74 | 0.3981 | 0.8272 | 0.8473 |
56
+ | 0.3311 | 3.0 | 111 | 0.3420 | 0.8576 | 0.8696 |
57
+ | 0.2435 | 4.0 | 148 | 0.3614 | 0.8528 | 0.8645 |
58
+ | 0.1975 | 5.0 | 185 | 0.3721 | 0.8502 | 0.8645 |
59
+ | 0.1496 | 6.0 | 222 | 0.3862 | 0.8471 | 0.8593 |
60
+ | 0.1114 | 7.0 | 259 | 0.4239 | 0.8412 | 0.8576 |
61
+ | 0.0989 | 8.0 | 296 | 0.4168 | 0.8484 | 0.8593 |
62
+ | 0.0747 | 9.0 | 333 | 0.4376 | 0.8459 | 0.8593 |
63
+ | 0.0733 | 10.0 | 370 | 0.4399 | 0.8493 | 0.8611 |
64
 
65
 
66
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3b39b4e778fe9652e4846027542fc103c9f9ddbadfc8474df4f913850bdfdc17
3
  size 267835644
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:803ed55d709c878a29cb53985f870ba49a32cc258ae48bf7c7400881e1fa55ab
3
  size 267835644
runs/Mar26_12-21-18_HeX/events.out.tfevents.1711470078.HeX.21100.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:abfe66ea1efb78841c7fe65017f7bb0665092025ad594170e96f204dd882157c
3
+ size 10835
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7a77a8c77aaab8f4b7dade65d7b3789668b035aada1f1c6e0b5ea8d023623fae
3
  size 4984
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6cef386f7675cdf856bf00521bb84b4e9f71bad7e1667a9a3bd8d68d72874dc1
3
  size 4984