Mbabazi commited on
Commit
46e710a
1 Parent(s): d1eb8ac

End of training

Browse files
Files changed (1) hide show
  1. README.md +69 -0
README.md ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
3
+ tags:
4
+ - generated_from_trainer
5
+ metrics:
6
+ - accuracy
7
+ model-index:
8
+ - name: cardiffnlp_twitter_roberta_base_sentiment_latest_Nov2023
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # cardiffnlp_twitter_roberta_base_sentiment_latest_Nov2023
16
+
17
+ This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 0.3189
20
+ - Accuracy: 0.805
21
+
22
+ ## Model description
23
+
24
+ More information needed
25
+
26
+ ## Intended uses & limitations
27
+
28
+ More information needed
29
+
30
+ ## Training and evaluation data
31
+
32
+ More information needed
33
+
34
+ ## Training procedure
35
+
36
+ ### Training hyperparameters
37
+
38
+ The following hyperparameters were used during training:
39
+ - learning_rate: 2e-05
40
+ - train_batch_size: 16
41
+ - eval_batch_size: 16
42
+ - seed: 42
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: linear
45
+ - lr_scheduler_warmup_steps: 500
46
+ - num_epochs: 2
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | 0.6619 | 0.2 | 100 | 0.5226 | 0.6285 |
53
+ | 0.4526 | 0.4 | 200 | 0.4150 | 0.716 |
54
+ | 0.4092 | 0.6 | 300 | 0.3898 | 0.728 |
55
+ | 0.3886 | 0.8 | 400 | 0.3441 | 0.773 |
56
+ | 0.3822 | 1.0 | 500 | 0.3494 | 0.767 |
57
+ | 0.3396 | 1.2 | 600 | 0.3470 | 0.7865 |
58
+ | 0.3156 | 1.4 | 700 | 0.3418 | 0.7875 |
59
+ | 0.3099 | 1.6 | 800 | 0.3231 | 0.794 |
60
+ | 0.2994 | 1.8 | 900 | 0.3371 | 0.7885 |
61
+ | 0.2907 | 2.0 | 1000 | 0.3189 | 0.805 |
62
+
63
+
64
+ ### Framework versions
65
+
66
+ - Transformers 4.35.0
67
+ - Pytorch 2.1.0+cu118
68
+ - Datasets 2.14.6
69
+ - Tokenizers 0.14.1