Hugging Face's logo

Rasooli3003
/
Bert-Sentiment-Fa

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
Rasooli3003 commited on
Commit
0c14e2a
•
1 Parent(s): 2d4ae96

Sentiment Fa

Browse files
Files changed (3) hide show
  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/Sep05_05-34-59_6fef17b3cca8/events.out.tfevents.1725514519.6fef17b3cca8.1555.1 +2 -2
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
19
 
20
  This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on the None dataset.
21
  It achieves the following results on the evaluation set:
22
- - Loss: 0.7200
23
- - Accuracy: 0.8549
24
- - F1: 0.7963
25
 
26
  ## Model description
27
 
@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
54
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
55
- | No log | 1.0 | 143 | 0.5002 | 0.8588 | 0.7918 |
56
- | No log | 2.0 | 286 | 0.5604 | 0.8549 | 0.7900 |
57
- | No log | 3.0 | 429 | 0.5587 | 0.8588 | 0.8031 |
58
- | 0.1184 | 4.0 | 572 | 0.6008 | 0.8588 | 0.8008 |
59
- | 0.1184 | 5.0 | 715 | 0.6769 | 0.8549 | 0.7999 |
60
- | 0.1184 | 6.0 | 858 | 0.6699 | 0.8627 | 0.8036 |
61
- | 0.0634 | 7.0 | 1001 | 0.6765 | 0.8588 | 0.8005 |
62
- | 0.0634 | 8.0 | 1144 | 0.7032 | 0.8588 | 0.8041 |
63
- | 0.0634 | 9.0 | 1287 | 0.7172 | 0.8588 | 0.7994 |
64
- | 0.0634 | 10.0 | 1430 | 0.7200 | 0.8549 | 0.7963 |
65
 
66
 
67
  ### Framework versions
 
19
 
20
  This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on the None dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 1.0549
23
+ - Accuracy: 0.4130
24
+ - F1: 0.2905
25
 
26
  ## Model description
27
 
 
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
54
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
55
+ | No log | 1.0 | 26 | 1.0480 | 0.4130 | 0.2522 |
56
+ | No log | 2.0 | 52 | 1.0572 | 0.4130 | 0.2522 |
57
+ | No log | 3.0 | 78 | 1.0568 | 0.3913 | 0.2232 |
58
+ | No log | 4.0 | 104 | 1.0601 | 0.3913 | 0.2418 |
59
+ | No log | 5.0 | 130 | 1.0565 | 0.3913 | 0.2566 |
60
+ | No log | 6.0 | 156 | 1.0561 | 0.3913 | 0.2684 |
61
+ | No log | 7.0 | 182 | 1.0562 | 0.4130 | 0.2905 |
62
+ | No log | 8.0 | 208 | 1.0557 | 0.3913 | 0.2684 |
63
+ | No log | 9.0 | 234 | 1.0550 | 0.4130 | 0.2905 |
64
+ | No log | 10.0 | 260 | 1.0549 | 0.4130 | 0.2905 |
65
 
66
 
67
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2cdef1183abb5bc88628d3cd7bdb7760516bd6803190449a1d160e24b6b5c9c8
3
  size 651398148
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:702713b09004d8fa9609d23f6fcc3cca5fa7f2cd8d90310b0a135ebe4351c93e
3
  size 651398148
runs/Sep05_05-34-59_6fef17b3cca8/events.out.tfevents.1725514519.6fef17b3cca8.1555.1 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ee240c5d520fd75179242fad607b6af3316a780a51947b5bc4c7744e7f9ce153
3
- size 8700
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5d5688bea86fad809ae9d3f8504c03aa05ada7d527d97881caffb2e06114b90c
3
+ size 9054