ajrayman commited on
Commit
b3d3ce0
·
verified ·
1 Parent(s): ac15fb3

End of training

Browse files
Files changed (2) hide show
  1. README.md +13 -13
  2. model.safetensors +1 -1
README.md CHANGED
@@ -10,23 +10,23 @@ metrics:
10
  - recall
11
  - f1
12
  model-index:
13
- - name: Imagination_binary
14
  results: []
15
  ---
16
 
17
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
18
  should probably proofread and complete it, then remove this comment. -->
19
 
20
- # Imagination_binary
21
 
22
  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
- - Loss: 0.6934
25
- - Accuracy: 0.4851
26
- - Precision: 0.0
27
- - Recall: 0.0
28
- - F1: 0.0
29
- - Auc: 0.5
30
 
31
  ## Model description
32
 
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
55
 
56
  ### Training results
57
 
58
- | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Auc |
59
- |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|:---:|
60
- | No log | 1.0 | 134 | 0.6955 | 0.4851 | 0.0 | 0.0 | 0.0 | 0.5 |
61
- | No log | 2.0 | 268 | 0.6933 | 0.4851 | 0.0 | 0.0 | 0.0 | 0.5 |
62
- | No log | 3.0 | 402 | 0.6934 | 0.4851 | 0.0 | 0.0 | 0.0 | 0.5 |
63
 
64
 
65
  ### Framework versions
 
10
  - recall
11
  - f1
12
  model-index:
13
+ - name: Artistic_Interests_binary
14
  results: []
15
  ---
16
 
17
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
18
  should probably proofread and complete it, then remove this comment. -->
19
 
20
+ # Artistic_Interests_binary
21
 
22
  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
+ - Loss: 0.6671
25
+ - Accuracy: 0.6297
26
+ - Precision: 0.6201
27
+ - Recall: 0.6516
28
+ - F1: 0.6354
29
+ - Auc: 0.6299
30
 
31
  ## Model description
32
 
 
55
 
56
  ### Training results
57
 
58
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Auc |
59
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
60
+ | No log | 1.0 | 134 | 0.6475 | 0.6306 | 0.6321 | 0.6083 | 0.6200 | 0.6304 |
61
+ | No log | 2.0 | 268 | 0.6681 | 0.6213 | 0.5960 | 0.7307 | 0.6565 | 0.6223 |
62
+ | No log | 3.0 | 402 | 0.6671 | 0.6297 | 0.6201 | 0.6516 | 0.6354 | 0.6299 |
63
 
64
 
65
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3950d21fc72f8d2e9f6255db95aad06884149e52c28a6014861aba23103d084c
3
  size 1421495416
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4d3fd119cc12d72be67266c5a747c4ea1ae5de253048d173b4445b3bf87203a8
3
  size 1421495416