training latge t5 comment 2 code done 12/10/2023, 10:32:14
Browse files- README.md +80 -0
- config.json +1 -1
- pytorch_model.bin +2 -2
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: Salesforce/codet5-base
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
model-index:
|
7 |
+
- name: SolCoder
|
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 |
+
# SolCoder
|
15 |
+
|
16 |
+
This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on the None dataset.
|
17 |
+
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 0.6043
|
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: 0.0001
|
38 |
+
- train_batch_size: 37
|
39 |
+
- eval_batch_size: 37
|
40 |
+
- seed: 100
|
41 |
+
- distributed_type: multi-GPU
|
42 |
+
- num_devices: 4
|
43 |
+
- total_train_batch_size: 148
|
44 |
+
- total_eval_batch_size: 148
|
45 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
46 |
+
- lr_scheduler_type: linear
|
47 |
+
- num_epochs: 20
|
48 |
+
|
49 |
+
### Training results
|
50 |
+
|
51 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
52 |
+
|:-------------:|:-----:|:------:|:---------------:|
|
53 |
+
| 1.0314 | 1.0 | 7440 | 0.9257 |
|
54 |
+
| 0.919 | 2.0 | 14880 | 0.8329 |
|
55 |
+
| 0.8463 | 3.0 | 22320 | 0.7831 |
|
56 |
+
| 0.8025 | 4.0 | 29760 | 0.7471 |
|
57 |
+
| 0.764 | 5.0 | 37200 | 0.7218 |
|
58 |
+
| 0.738 | 6.0 | 44640 | 0.6986 |
|
59 |
+
| 0.7101 | 7.0 | 52080 | 0.6823 |
|
60 |
+
| 0.6915 | 8.0 | 59520 | 0.6681 |
|
61 |
+
| 0.6738 | 9.0 | 66960 | 0.6560 |
|
62 |
+
| 0.6543 | 10.0 | 74400 | 0.6480 |
|
63 |
+
| 0.6438 | 11.0 | 81840 | 0.6380 |
|
64 |
+
| 0.6285 | 12.0 | 89280 | 0.6312 |
|
65 |
+
| 0.6163 | 13.0 | 96720 | 0.6250 |
|
66 |
+
| 0.6093 | 14.0 | 104160 | 0.6187 |
|
67 |
+
| 0.5967 | 15.0 | 111600 | 0.6149 |
|
68 |
+
| 0.5914 | 16.0 | 119040 | 0.6114 |
|
69 |
+
| 0.5827 | 17.0 | 126480 | 0.6079 |
|
70 |
+
| 0.5758 | 18.0 | 133920 | 0.6059 |
|
71 |
+
| 0.5724 | 19.0 | 141360 | 0.6045 |
|
72 |
+
| 0.5653 | 20.0 | 148800 | 0.6043 |
|
73 |
+
|
74 |
+
|
75 |
+
### Framework versions
|
76 |
+
|
77 |
+
- Transformers 4.33.0
|
78 |
+
- Pytorch 2.1.0+cu121
|
79 |
+
- Datasets 2.11.0
|
80 |
+
- Tokenizers 0.13.3
|
config.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"_name_or_path": "
|
3 |
"architectures": [
|
4 |
"T5ForConditionalGeneration"
|
5 |
],
|
|
|
1 |
{
|
2 |
+
"_name_or_path": "Salesforce/codet5-base",
|
3 |
"architectures": [
|
4 |
"T5ForConditionalGeneration"
|
5 |
],
|
pytorch_model.bin
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:cc1c1ffe877771eb7458541517e1caae752e550fece1146fbfe61a5ec9a64cf4
|
3 |
+
size 891617358
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e2d73b509a28e59cbf3d5a6f990bd34c3850e4771a5fd6a62fc23cd76f6bc6b0
|
3 |
+
size 4600
|