Training completed!
Browse files
README.md
ADDED
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: vinai/phobert-base-v2
|
3 |
+
tags:
|
4 |
+
- generated_from_trainer
|
5 |
+
model-index:
|
6 |
+
- name: CS505-GPT_T3vsLabel2T5_CSI-PhoBERT
|
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 |
+
# CS505-GPT_T3vsLabel2T5_CSI-PhoBERT
|
14 |
+
|
15 |
+
This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
|
16 |
+
It achieves the following results on the evaluation set:
|
17 |
+
- Loss: 0.0002
|
18 |
+
|
19 |
+
## Model description
|
20 |
+
|
21 |
+
More information needed
|
22 |
+
|
23 |
+
## Intended uses & limitations
|
24 |
+
|
25 |
+
More information needed
|
26 |
+
|
27 |
+
## Training and evaluation data
|
28 |
+
|
29 |
+
More information needed
|
30 |
+
|
31 |
+
## Training procedure
|
32 |
+
|
33 |
+
### Training hyperparameters
|
34 |
+
|
35 |
+
The following hyperparameters were used during training:
|
36 |
+
- learning_rate: 2e-05
|
37 |
+
- train_batch_size: 16
|
38 |
+
- eval_batch_size: 8
|
39 |
+
- seed: 41
|
40 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
41 |
+
- lr_scheduler_type: linear
|
42 |
+
- num_epochs: 15
|
43 |
+
|
44 |
+
### Training results
|
45 |
+
|
46 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
47 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
48 |
+
| No log | 1.0 | 332 | 0.1938 |
|
49 |
+
| 0.302 | 1.99 | 664 | 0.1052 |
|
50 |
+
| 0.302 | 2.99 | 996 | 0.0698 |
|
51 |
+
| 0.158 | 3.99 | 1328 | 0.0487 |
|
52 |
+
| 0.0811 | 4.98 | 1660 | 0.0182 |
|
53 |
+
| 0.0811 | 5.98 | 1992 | 0.0239 |
|
54 |
+
| 0.053 | 6.98 | 2324 | 0.0264 |
|
55 |
+
| 0.025 | 7.98 | 2656 | 0.0086 |
|
56 |
+
| 0.025 | 8.97 | 2988 | 0.0048 |
|
57 |
+
| 0.0135 | 9.97 | 3320 | 0.0035 |
|
58 |
+
| 0.0102 | 10.97 | 3652 | 0.0075 |
|
59 |
+
| 0.0102 | 11.96 | 3984 | 0.0027 |
|
60 |
+
| 0.0094 | 12.96 | 4316 | 0.0013 |
|
61 |
+
| 0.0057 | 13.96 | 4648 | 0.0005 |
|
62 |
+
| 0.0057 | 14.95 | 4980 | 0.0002 |
|
63 |
+
|
64 |
+
|
65 |
+
### Framework versions
|
66 |
+
|
67 |
+
- Transformers 4.39.1
|
68 |
+
- Pytorch 2.2.1+cu121
|
69 |
+
- Datasets 2.18.0
|
70 |
+
- Tokenizers 0.15.2
|
runs/Mar26_18-55-22_a1af1643cd69/events.out.tfevents.1711479323.a1af1643cd69.167.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b9578dd441beb7595993ca6ab629bd08f2f73c32caa088e4fe570824ed4f381d
|
3 |
+
size 11047
|