Hugging Face's logo

Tanor
/
SRGPTSENTNEG4

Text Classification
Transformers
PyTorch
gpt2
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
1
Tanor commited on
Commit
11e20a8
•
1 Parent(s): ab34db8

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +11 -12
README.md CHANGED
@@ -1,9 +1,9 @@
1
  ---
 
2
  tags:
3
  - generated_from_trainer
4
  metrics:
5
  - f1
6
- base_model: Tanor/SRGPTSENTNEG4
7
  model-index:
8
  - name: SRGPTSENTNEG4
9
  results: []
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [Tanor/SRGPTSENTNEG4](https://huggingface.co/Tanor/SRGPTSENTNEG4) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 0.1827
20
- - F1: 0.3902
21
 
22
  ## Model description
23
 
@@ -44,22 +44,21 @@ The following hyperparameters were used during training:
44
  - total_train_batch_size: 4
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
47
- - num_epochs: 10
48
 
49
  ### Training results
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | F1 |
52
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
53
- | 0.0327 | 1.0 | 3010 | 0.1860 | 0.1429 |
54
- | 0.0897 | 2.0 | 6020 | 0.1548 | 0.4211 |
55
- | 0.0361 | 3.0 | 9030 | 0.1446 | 0.4390 |
56
- | 0.0251 | 4.0 | 12041 | 0.2221 | 0.3896 |
57
- | 0.0095 | 5.0 | 15051 | 0.1827 | 0.3902 |
58
 
59
 
60
  ### Framework versions
61
 
62
- - Transformers 4.30.2
63
- - Pytorch 2.1.0.dev20230715
64
- - Datasets 2.13.1
65
  - Tokenizers 0.13.3
 
1
  ---
2
+ base_model: Tanor/SRGPTSENTNEG4
3
  tags:
4
  - generated_from_trainer
5
  metrics:
6
  - f1
 
7
  model-index:
8
  - name: SRGPTSENTNEG4
9
  results: []
 
16
 
17
  This model is a fine-tuned version of [Tanor/SRGPTSENTNEG4](https://huggingface.co/Tanor/SRGPTSENTNEG4) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 0.1890
20
+ - F1: 0.3836
21
 
22
  ## Model description
23
 
 
44
  - total_train_batch_size: 4
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
47
+ - num_epochs: 32
48
 
49
  ### Training results
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | F1 |
52
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
53
+ | 0.1142 | 1.0 | 2703 | 0.0752 | 0.0 |
54
+ | 0.1055 | 2.0 | 5406 | 0.1735 | 0.4463 |
55
+ | 0.0793 | 3.0 | 8109 | 0.1349 | 0.3529 |
56
+ | 0.0337 | 4.0 | 10812 | 0.1890 | 0.3836 |
 
57
 
58
 
59
  ### Framework versions
60
 
61
+ - Transformers 4.31.0
62
+ - Pytorch 2.1.0.dev20230801
63
+ - Datasets 2.14.2
64
  - Tokenizers 0.13.3