Model save
Browse files- README.md +95 -0
- pytorch_model.bin +1 -1
README.md
ADDED
@@ -0,0 +1,95 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- generated_from_trainer
|
4 |
+
metrics:
|
5 |
+
- accuracy
|
6 |
+
model-index:
|
7 |
+
- name: HBERTv1_emb_compress_48_L10_H128_A2
|
8 |
+
results: []
|
9 |
+
---
|
10 |
+
|
11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
12 |
+
should probably proofread and complete it, then remove this comment. -->
|
13 |
+
|
14 |
+
# HBERTv1_emb_compress_48_L10_H128_A2
|
15 |
+
|
16 |
+
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
|
17 |
+
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 6.2130
|
19 |
+
- Accuracy: 0.1439
|
20 |
+
|
21 |
+
## Model description
|
22 |
+
|
23 |
+
More information needed
|
24 |
+
|
25 |
+
## Intended uses & limitations
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Training and evaluation data
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training procedure
|
34 |
+
|
35 |
+
### Training hyperparameters
|
36 |
+
|
37 |
+
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 1e-05
|
39 |
+
- train_batch_size: 80
|
40 |
+
- eval_batch_size: 80
|
41 |
+
- seed: 10
|
42 |
+
- distributed_type: multi-GPU
|
43 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
44 |
+
- lr_scheduler_type: linear
|
45 |
+
- lr_scheduler_warmup_steps: 10000
|
46 |
+
- num_epochs: 5
|
47 |
+
|
48 |
+
### Training results
|
49 |
+
|
50 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
51 |
+
|:-------------:|:-----:|:------:|:---------------:|:--------:|
|
52 |
+
| 7.7198 | 0.14 | 10000 | 7.6446 | 0.0636 |
|
53 |
+
| 6.9424 | 0.27 | 20000 | 6.9379 | 0.0825 |
|
54 |
+
| 6.7559 | 0.41 | 30000 | 6.7492 | 0.0974 |
|
55 |
+
| 6.6513 | 0.55 | 40000 | 6.6455 | 0.1047 |
|
56 |
+
| 6.5706 | 0.68 | 50000 | 6.5734 | 0.1113 |
|
57 |
+
| 6.5236 | 0.82 | 60000 | 6.5176 | 0.1170 |
|
58 |
+
| 6.479 | 0.96 | 70000 | 6.4744 | 0.1212 |
|
59 |
+
| 6.4372 | 1.09 | 80000 | 6.4382 | 0.1255 |
|
60 |
+
| 6.4069 | 1.23 | 90000 | 6.4071 | 0.1275 |
|
61 |
+
| 6.3918 | 1.37 | 100000 | 6.3806 | 0.1302 |
|
62 |
+
| 6.3625 | 1.5 | 110000 | 6.3581 | 0.1320 |
|
63 |
+
| 6.339 | 1.64 | 120000 | 6.3400 | 0.1341 |
|
64 |
+
| 6.3189 | 1.78 | 130000 | 6.3237 | 0.1350 |
|
65 |
+
| 6.3115 | 1.91 | 140000 | 6.3103 | 0.1366 |
|
66 |
+
| 6.298 | 2.05 | 150000 | 6.2982 | 0.1374 |
|
67 |
+
| 6.2888 | 2.18 | 160000 | 6.2878 | 0.1382 |
|
68 |
+
| 6.2786 | 2.32 | 170000 | 6.2778 | 0.1392 |
|
69 |
+
| 6.2691 | 2.46 | 180000 | 6.2703 | 0.1398 |
|
70 |
+
| 6.2675 | 2.59 | 190000 | 6.2622 | 0.1402 |
|
71 |
+
| 6.255 | 2.73 | 200000 | 6.2571 | 0.1404 |
|
72 |
+
| 6.2481 | 2.87 | 210000 | 6.2517 | 0.1407 |
|
73 |
+
| 6.2465 | 3.0 | 220000 | 6.2447 | 0.1417 |
|
74 |
+
| 6.2381 | 3.14 | 230000 | 6.2399 | 0.1419 |
|
75 |
+
| 6.2332 | 3.28 | 240000 | 6.2371 | 0.1422 |
|
76 |
+
| 6.2279 | 3.41 | 250000 | 6.2321 | 0.1424 |
|
77 |
+
| 6.2275 | 3.55 | 260000 | 6.2274 | 0.1427 |
|
78 |
+
| 6.2186 | 3.69 | 270000 | 6.2249 | 0.1429 |
|
79 |
+
| 6.2192 | 3.82 | 280000 | 6.2231 | 0.1428 |
|
80 |
+
| 6.2228 | 3.96 | 290000 | 6.2208 | 0.1433 |
|
81 |
+
| 6.2154 | 4.1 | 300000 | 6.2192 | 0.1434 |
|
82 |
+
| 6.2204 | 4.23 | 310000 | 6.2177 | 0.1433 |
|
83 |
+
| 6.2123 | 4.37 | 320000 | 6.2162 | 0.1434 |
|
84 |
+
| 6.2136 | 4.51 | 330000 | 6.2134 | 0.1437 |
|
85 |
+
| 6.214 | 4.64 | 340000 | 6.2131 | 0.1439 |
|
86 |
+
| 6.2139 | 4.78 | 350000 | 6.2129 | 0.1437 |
|
87 |
+
| 6.211 | 4.92 | 360000 | 6.2130 | 0.1439 |
|
88 |
+
|
89 |
+
|
90 |
+
### Framework versions
|
91 |
+
|
92 |
+
- Transformers 4.33.2
|
93 |
+
- Pytorch 1.14.0a0+410ce96
|
94 |
+
- Datasets 2.14.5
|
95 |
+
- Tokenizers 0.13.3
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 24971973
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bf4053ab840e5b5e04bb7c26820260e83f17c197685d6ab8b0c7ffd23033f347
|
3 |
size 24971973
|