End of training
Browse files
README.md
ADDED
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align
|
3 |
+
tags:
|
4 |
+
- generated_from_trainer
|
5 |
+
model-index:
|
6 |
+
- name: dfm_ND
|
7 |
+
results: []
|
8 |
+
---
|
9 |
+
|
10 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
11 |
+
should probably proofread and complete it, then remove this comment. -->
|
12 |
+
|
13 |
+
# dfm_ND
|
14 |
+
|
15 |
+
This model is a fine-tuned version of [KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align](https://huggingface.co/KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align) on an unknown dataset.
|
16 |
+
It achieves the following results on the evaluation set:
|
17 |
+
- Loss: 0.1062
|
18 |
+
- F1-score: 0.9886
|
19 |
+
|
20 |
+
## Model description
|
21 |
+
|
22 |
+
More information needed
|
23 |
+
|
24 |
+
## Intended uses & limitations
|
25 |
+
|
26 |
+
More information needed
|
27 |
+
|
28 |
+
## Training and evaluation data
|
29 |
+
|
30 |
+
More information needed
|
31 |
+
|
32 |
+
## Training procedure
|
33 |
+
|
34 |
+
### Training hyperparameters
|
35 |
+
|
36 |
+
The following hyperparameters were used during training:
|
37 |
+
- learning_rate: 5e-05
|
38 |
+
- train_batch_size: 8
|
39 |
+
- eval_batch_size: 8
|
40 |
+
- seed: 42
|
41 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
42 |
+
- lr_scheduler_type: linear
|
43 |
+
- num_epochs: 10
|
44 |
+
|
45 |
+
### Training results
|
46 |
+
|
47 |
+
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|
48 |
+
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
|
49 |
+
| 0.3693 | 1.0 | 1057 | 0.5857 | 0.7432 |
|
50 |
+
| 0.1394 | 2.0 | 2114 | 0.1865 | 0.9538 |
|
51 |
+
| 0.0763 | 3.0 | 3171 | 0.2028 | 0.9537 |
|
52 |
+
| 0.0321 | 4.0 | 4228 | 0.1507 | 0.9759 |
|
53 |
+
| 0.0262 | 5.0 | 5285 | 0.1757 | 0.9752 |
|
54 |
+
| 0.0187 | 6.0 | 6342 | 0.1567 | 0.9786 |
|
55 |
+
| 0.0145 | 7.0 | 7399 | 0.1145 | 0.9846 |
|
56 |
+
| 0.002 | 8.0 | 8456 | 0.1090 | 0.9873 |
|
57 |
+
| 0.0039 | 9.0 | 9513 | 0.1237 | 0.9866 |
|
58 |
+
| 0.0036 | 10.0 | 10570 | 0.1062 | 0.9886 |
|
59 |
+
|
60 |
+
|
61 |
+
### Framework versions
|
62 |
+
|
63 |
+
- Transformers 4.41.2
|
64 |
+
- Pytorch 2.3.0+cu121
|
65 |
+
- Datasets 2.19.2
|
66 |
+
- Tokenizers 0.19.1
|
runs/Jun12_09-17-19_b5487d1314f9/events.out.tfevents.1718195746.b5487d1314f9.813.3
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ec2dcc8c2fca0de86bb070689e024d41504ceb94154db74323d742a98cefc212
|
3 |
+
size 411
|