Semhal2024 commited on
Commit
c45d333
·
verified ·
1 Parent(s): c0e04bd

Semhal2024/emotion-model3_fold_4

Browse files
Files changed (2) hide show
  1. README.md +73 -0
  2. adapter_model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ license: mit
4
+ base_model: xlm-roberta-base
5
+ tags:
6
+ - generated_from_trainer
7
+ metrics:
8
+ - accuracy
9
+ - f1
10
+ model-index:
11
+ - name: emotion-model11_4
12
+ results: []
13
+ ---
14
+
15
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
16
+ should probably proofread and complete it, then remove this comment. -->
17
+
18
+ # emotion-model11_4
19
+
20
+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
21
+ It achieves the following results on the evaluation set:
22
+ - Loss: 1.0625
23
+ - Accuracy: 0.5583
24
+ - F1: 0.4940
25
+
26
+ ## Model description
27
+
28
+ More information needed
29
+
30
+ ## Intended uses & limitations
31
+
32
+ More information needed
33
+
34
+ ## Training and evaluation data
35
+
36
+ More information needed
37
+
38
+ ## Training procedure
39
+
40
+ ### Training hyperparameters
41
+
42
+ The following hyperparameters were used during training:
43
+ - learning_rate: 5e-05
44
+ - train_batch_size: 16
45
+ - eval_batch_size: 32
46
+ - seed: 42
47
+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
48
+ - lr_scheduler_type: linear
49
+ - num_epochs: 10
50
+
51
+ ### Training results
52
+
53
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
54
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
55
+ | No log | 1.0 | 41 | 1.3676 | 0.3129 | 0.1491 |
56
+ | 1.3399 | 2.0 | 82 | 1.2677 | 0.3129 | 0.1505 |
57
+ | 1.247 | 3.0 | 123 | 1.1853 | 0.3926 | 0.3509 |
58
+ | 1.1817 | 4.0 | 164 | 1.1578 | 0.4540 | 0.3253 |
59
+ | 1.1047 | 5.0 | 205 | 1.1288 | 0.5031 | 0.4425 |
60
+ | 1.1047 | 6.0 | 246 | 1.0909 | 0.5153 | 0.4554 |
61
+ | 1.0967 | 7.0 | 287 | 1.1050 | 0.5215 | 0.4572 |
62
+ | 1.0847 | 8.0 | 328 | 1.0485 | 0.5460 | 0.4875 |
63
+ | 1.0575 | 9.0 | 369 | 1.0625 | 0.5583 | 0.4940 |
64
+ | 1.0467 | 10.0 | 410 | 1.0561 | 0.5521 | 0.4881 |
65
+
66
+
67
+ ### Framework versions
68
+
69
+ - PEFT 0.15.2
70
+ - Transformers 4.52.4
71
+ - Pytorch 2.6.0+cu124
72
+ - Datasets 3.6.0
73
+ - Tokenizers 0.21.1
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:27efb32274fe7444fd6cda45c07284f913e56119677db64312b252f8d32ab452
3
  size 4741352
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a37cc9888b75826006408045cd817f32911ed0d5d65fa7191529f8830d75a085
3
  size 4741352