Hugging Face's logo

rbelanec
/
train_winogrande_1754507494

PEFT
Safetensors
llama-factory
prompt-tuning
Generated from Trainer
Model card Files
xet
Community
rbelanec commited on
Commit
104b5ca
路
verified 路
1 Parent(s): 616f353

Model save

Browse files
Files changed (2) hide show
  1. README.md +81 -0
  2. adapter_model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,81 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ license: llama3
4
+ base_model: meta-llama/Meta-Llama-3-8B-Instruct
5
+ tags:
6
+ - llama-factory
7
+ - generated_from_trainer
8
+ model-index:
9
+ - name: train_winogrande_1754507494
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
+ # train_winogrande_1754507494
17
+
18
+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.1324
21
+ - Num Input Tokens Seen: 30830624
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: 4
42
+ - eval_batch_size: 4
43
+ - seed: 123
44
+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
45
+ - lr_scheduler_type: cosine
46
+ - lr_scheduler_warmup_ratio: 0.1
47
+ - num_epochs: 10.0
48
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
52
+ |:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
53
+ | 0.2219 | 0.5 | 4545 | 0.1793 | 1541600 |
54
+ | 0.117 | 1.0 | 9090 | 0.1384 | 3081600 |
55
+ | 0.1759 | 1.5 | 13635 | 0.1386 | 4623680 |
56
+ | 0.0729 | 2.0 | 18180 | 0.1352 | 6165104 |
57
+ | 0.3377 | 2.5 | 22725 | 0.1298 | 7706064 |
58
+ | 0.1626 | 3.0 | 27270 | 0.1327 | 9248016 |
59
+ | 0.0735 | 3.5 | 31815 | 0.1381 | 10789584 |
60
+ | 0.1049 | 4.0 | 36360 | 0.1307 | 12330800 |
61
+ | 0.0654 | 4.5 | 40905 | 0.1334 | 13871920 |
62
+ | 0.001 | 5.0 | 45450 | 0.1381 | 15413776 |
63
+ | 0.2929 | 5.5 | 49995 | 0.1352 | 16954320 |
64
+ | 0.2065 | 6.0 | 54540 | 0.1269 | 18496992 |
65
+ | 0.1853 | 6.5 | 59085 | 0.1326 | 20039264 |
66
+ | 0.2249 | 7.0 | 63630 | 0.1306 | 21579792 |
67
+ | 0.135 | 7.5 | 68175 | 0.1313 | 23122160 |
68
+ | 0.0009 | 8.0 | 72720 | 0.1314 | 24664400 |
69
+ | 0.005 | 8.5 | 77265 | 0.1320 | 26207280 |
70
+ | 0.0321 | 9.0 | 81810 | 0.1328 | 27747856 |
71
+ | 0.2766 | 9.5 | 86355 | 0.1317 | 29287888 |
72
+ | 0.0005 | 10.0 | 90900 | 0.1324 | 30830624 |
73
+
74
+
75
+ ### Framework versions
76
+
77
+ - PEFT 0.15.2
78
+ - Transformers 4.51.3
79
+ - Pytorch 2.8.0+cu128
80
+ - Datasets 3.6.0
81
+ - Tokenizers 0.21.1
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9ce14ad694e5c27c55d3e78bcf338436d7231884b867a13b1d1e40498c19eaf7
3
  size 819328
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c74d4204e3ea022912e971dce22767d4d3dd602dd0dd948c649466aeaabfe3a5
3
  size 819328