Model save
Browse files- README.md +74 -0
- pytorch_model.bin +1 -1
README.md
ADDED
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: mit
|
3 |
+
base_model: microsoft/deberta-v3-large
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
metrics:
|
7 |
+
- accuracy
|
8 |
+
model-index:
|
9 |
+
- name: 1_microsoft_deberta_V1.1
|
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 |
+
# 1_microsoft_deberta_V1.1
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the None dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.7138
|
21 |
+
- Map@3: 0.8492
|
22 |
+
- Accuracy: 0.775
|
23 |
+
|
24 |
+
## Model description
|
25 |
+
|
26 |
+
More information needed
|
27 |
+
|
28 |
+
## Intended uses & limitations
|
29 |
+
|
30 |
+
More information needed
|
31 |
+
|
32 |
+
## Training and evaluation data
|
33 |
+
|
34 |
+
More information needed
|
35 |
+
|
36 |
+
## Training procedure
|
37 |
+
|
38 |
+
### Training hyperparameters
|
39 |
+
|
40 |
+
The following hyperparameters were used during training:
|
41 |
+
- learning_rate: 2e-05
|
42 |
+
- train_batch_size: 2
|
43 |
+
- eval_batch_size: 4
|
44 |
+
- seed: 42
|
45 |
+
- gradient_accumulation_steps: 16
|
46 |
+
- total_train_batch_size: 32
|
47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
48 |
+
- lr_scheduler_type: cosine
|
49 |
+
- lr_scheduler_warmup_ratio: 0.1
|
50 |
+
- num_epochs: 1
|
51 |
+
|
52 |
+
### Training results
|
53 |
+
|
54 |
+
| Training Loss | Epoch | Step | Validation Loss | Map@3 | Accuracy |
|
55 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
|
56 |
+
| 1.6141 | 0.03 | 50 | 1.6087 | 0.6242 | 0.51 |
|
57 |
+
| 1.336 | 0.05 | 100 | 1.1398 | 0.7550 | 0.645 |
|
58 |
+
| 0.9441 | 0.08 | 150 | 0.8809 | 0.8150 | 0.7 |
|
59 |
+
| 0.9279 | 0.11 | 200 | 0.7528 | 0.8383 | 0.73 |
|
60 |
+
| 0.8639 | 0.13 | 250 | 0.7259 | 0.8525 | 0.76 |
|
61 |
+
| 0.8255 | 0.16 | 300 | 0.7363 | 0.8592 | 0.785 |
|
62 |
+
| 0.8411 | 0.19 | 350 | 0.7052 | 0.8483 | 0.76 |
|
63 |
+
| 0.856 | 0.21 | 400 | 0.7097 | 0.8408 | 0.745 |
|
64 |
+
| 0.7753 | 0.24 | 450 | 0.6860 | 0.8575 | 0.775 |
|
65 |
+
| 0.7941 | 0.27 | 500 | 0.7146 | 0.8525 | 0.765 |
|
66 |
+
| 0.8062 | 0.29 | 550 | 0.7138 | 0.8492 | 0.775 |
|
67 |
+
|
68 |
+
|
69 |
+
### Framework versions
|
70 |
+
|
71 |
+
- Transformers 4.32.1
|
72 |
+
- Pytorch 2.0.0
|
73 |
+
- Datasets 2.9.0
|
74 |
+
- 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 1740387701
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:07d7b0130e4ded832db13bcb73e3060cea1d1b782b63a082bb55ce8830e89020
|
3 |
size 1740387701
|