Luca Tedeschini commited on
Commit
0001213
·
verified ·
1 Parent(s): d1f9af6

MultiPRIDE-DualEncoder-LPFT-it

Browse files
Files changed (3) hide show
  1. README.md +16 -11
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
21
 
22
  This model is a fine-tuned version of [nickprock/setfit-italian-hate-speech](https://huggingface.co/nickprock/setfit-italian-hate-speech) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
- - Loss: 0.0739
25
- - Accuracy: 0.8773
26
- - F1: 0.6774
27
- - Precision: 0.6774
28
- - Recall: 0.6774
29
 
30
  ## Model description
31
 
@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
47
  - learning_rate: 2e-05
48
  - train_batch_size: 8
49
  - eval_batch_size: 8
50
- - seed: 68
51
  - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
52
  - lr_scheduler_type: linear
53
  - num_epochs: 10
@@ -56,11 +56,16 @@ The following hyperparameters were used during training:
56
 
57
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
58
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
59
- | 0.1788 | 1.0 | 95 | 0.0812 | 0.8834 | 0.6667 | 0.7308 | 0.6129 |
60
- | 0.0527 | 2.0 | 190 | 0.0595 | 0.8896 | 0.7 | 0.7241 | 0.6774 |
61
- | 0.026 | 3.0 | 285 | 0.0712 | 0.8896 | 0.7 | 0.7241 | 0.6774 |
62
- | 0.0406 | 4.0 | 380 | 0.0708 | 0.8834 | 0.6885 | 0.7 | 0.6774 |
63
- | 0.0261 | 5.0 | 475 | 0.0739 | 0.8773 | 0.6774 | 0.6774 | 0.6774 |
 
 
 
 
 
64
 
65
 
66
  ### Framework versions
 
21
 
22
  This model is a fine-tuned version of [nickprock/setfit-italian-hate-speech](https://huggingface.co/nickprock/setfit-italian-hate-speech) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
+ - Loss: 0.0258
25
+ - Accuracy: 0.9202
26
+ - F1: 0.8060
27
+ - Precision: 0.75
28
+ - Recall: 0.8710
29
 
30
  ## Model description
31
 
 
47
  - learning_rate: 2e-05
48
  - train_batch_size: 8
49
  - eval_batch_size: 8
50
+ - seed: 42
51
  - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
52
  - lr_scheduler_type: linear
53
  - num_epochs: 10
 
56
 
57
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
58
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
59
+ | 0.1876 | 1.0 | 95 | 0.1464 | 0.8037 | 0.3043 | 0.4667 | 0.2258 |
60
+ | 0.1365 | 2.0 | 190 | 0.1072 | 0.8773 | 0.6667 | 0.6897 | 0.6452 |
61
+ | 0.112 | 3.0 | 285 | 0.0677 | 0.8957 | 0.7302 | 0.7188 | 0.7419 |
62
+ | 0.0535 | 4.0 | 380 | 0.0465 | 0.9141 | 0.7742 | 0.7742 | 0.7742 |
63
+ | 0.036 | 5.0 | 475 | 0.0335 | 0.8957 | 0.7385 | 0.7059 | 0.7742 |
64
+ | 0.0322 | 6.0 | 570 | 0.0299 | 0.9141 | 0.7879 | 0.7429 | 0.8387 |
65
+ | 0.0239 | 7.0 | 665 | 0.0274 | 0.9202 | 0.8060 | 0.75 | 0.8710 |
66
+ | 0.0275 | 8.0 | 760 | 0.0263 | 0.9202 | 0.8060 | 0.75 | 0.8710 |
67
+ | 0.0289 | 9.0 | 855 | 0.0259 | 0.9202 | 0.8060 | 0.75 | 0.8710 |
68
+ | 0.0206 | 10.0 | 950 | 0.0258 | 0.9202 | 0.8060 | 0.75 | 0.8710 |
69
 
70
 
71
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:36665b0c0058a6cdf6d5161f2a17d18b60b44c7e46a008788c7eb22470fb43d0
3
  size 443306324
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3f6ae44e96c27fb3e0cfebb87ea640b968661c726f7a3676d5b0db410a4bbfcd
3
  size 443306324
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f1095230a378f35cd7fde43286f1d3dedc592afdb443e4a5de79a48270b89f4b
3
  size 5969
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d18f333459043645aa8879f45aef0eadf91e82cd2a6e431bad0fc2ecd578220f
3
  size 5969