End of training
Browse files- README.md +74 -0
- model.safetensors +1 -1
README.md
ADDED
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: distilbert/distilbert-base-uncased
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
metrics:
|
7 |
+
- accuracy
|
8 |
+
model-index:
|
9 |
+
- name: distilbert_distilbert-base-uncased-15-epoch
|
10 |
+
results: []
|
11 |
+
---
|
12 |
+
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
+
|
16 |
+
# distilbert_distilbert-base-uncased-15-epoch
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 4.3248
|
21 |
+
- Accuracy: 0.4133
|
22 |
+
|
23 |
+
## Model description
|
24 |
+
|
25 |
+
More information needed
|
26 |
+
|
27 |
+
## Intended uses & limitations
|
28 |
+
|
29 |
+
More information needed
|
30 |
+
|
31 |
+
## Training and evaluation data
|
32 |
+
|
33 |
+
More information needed
|
34 |
+
|
35 |
+
## Training procedure
|
36 |
+
|
37 |
+
### Training hyperparameters
|
38 |
+
|
39 |
+
The following hyperparameters were used during training:
|
40 |
+
- learning_rate: 5e-05
|
41 |
+
- train_batch_size: 64
|
42 |
+
- eval_batch_size: 64
|
43 |
+
- seed: 42
|
44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
+
- lr_scheduler_type: linear
|
46 |
+
- num_epochs: 15
|
47 |
+
|
48 |
+
### Training results
|
49 |
+
|
50 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
51 |
+
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
|
52 |
+
| 1.3078 | 1.0 | 2857 | 1.3426 | 0.3356 |
|
53 |
+
| 1.1327 | 2.0 | 5714 | 1.4079 | 0.3560 |
|
54 |
+
| 0.911 | 3.0 | 8571 | 1.5413 | 0.3789 |
|
55 |
+
| 0.7139 | 4.0 | 11428 | 1.7088 | 0.3942 |
|
56 |
+
| 0.548 | 5.0 | 14285 | 1.9117 | 0.3902 |
|
57 |
+
| 0.4389 | 6.0 | 17142 | 2.1179 | 0.3971 |
|
58 |
+
| 0.3422 | 7.0 | 19999 | 2.5687 | 0.4002 |
|
59 |
+
| 0.2707 | 8.0 | 22856 | 2.6006 | 0.4019 |
|
60 |
+
| 0.2258 | 9.0 | 25713 | 2.8582 | 0.4069 |
|
61 |
+
| 0.1817 | 10.0 | 28570 | 3.2135 | 0.4031 |
|
62 |
+
| 0.1506 | 11.0 | 31427 | 3.2640 | 0.4074 |
|
63 |
+
| 0.1285 | 12.0 | 34284 | 3.6061 | 0.4086 |
|
64 |
+
| 0.1067 | 13.0 | 37141 | 3.7931 | 0.4141 |
|
65 |
+
| 0.088 | 14.0 | 39998 | 4.1130 | 0.4129 |
|
66 |
+
| 0.0772 | 15.0 | 42855 | 4.3248 | 0.4133 |
|
67 |
+
|
68 |
+
|
69 |
+
### Framework versions
|
70 |
+
|
71 |
+
- Transformers 4.39.0.dev0
|
72 |
+
- Pytorch 2.2.0+cu121
|
73 |
+
- Datasets 2.18.0
|
74 |
+
- Tokenizers 0.15.0
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 267829484
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fd43b9dd5aef4f78f779fefe97c96ebe8e1bb42d2b16e412232d864cee41f5f7
|
3 |
size 267829484
|