Hugging Face's logo

rbelanec
/
train_multirc_42_1762438236

PEFT
Safetensors
llama-factory
ia3
Generated from Trainer
Model card Files
xet
Community
rbelanec commited on
Commit
b11c493
路
verified 路
1 Parent(s): 136de53

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_multirc_42_1762438236
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_multirc_42_1762438236
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: 0.1379
21
+ - Num Input Tokens Seen: 264840880
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: 42
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: 20
48
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
52
+ |:-------------:|:-----:|:------:|:---------------:|:-----------------:|
53
+ | 0.1685 | 1.0 | 6130 | 0.1692 | 13256608 |
54
+ | 0.0664 | 2.0 | 12260 | 0.1500 | 26510112 |
55
+ | 0.0817 | 3.0 | 18390 | 0.1415 | 39755376 |
56
+ | 0.2479 | 4.0 | 24520 | 0.1383 | 53010912 |
57
+ | 0.1819 | 5.0 | 30650 | 0.1354 | 66248576 |
58
+ | 0.1082 | 6.0 | 36780 | 0.1367 | 79495984 |
59
+ | 0.1441 | 7.0 | 42910 | 0.1316 | 92713360 |
60
+ | 0.0245 | 8.0 | 49040 | 0.1318 | 105934480 |
61
+ | 0.2177 | 9.0 | 55170 | 0.1329 | 119164864 |
62
+ | 0.0982 | 10.0 | 61300 | 0.1324 | 132392640 |
63
+ | 0.3213 | 11.0 | 67430 | 0.1341 | 145641920 |
64
+ | 0.1288 | 12.0 | 73560 | 0.1346 | 158902432 |
65
+ | 0.1889 | 13.0 | 79690 | 0.1392 | 172144032 |
66
+ | 0.3426 | 14.0 | 85820 | 0.1362 | 185378480 |
67
+ | 0.237 | 15.0 | 91950 | 0.1357 | 198621168 |
68
+ | 0.1404 | 16.0 | 98080 | 0.1367 | 211855376 |
69
+ | 0.1051 | 17.0 | 104210 | 0.1377 | 225105296 |
70
+ | 0.2527 | 18.0 | 110340 | 0.1379 | 238352272 |
71
+ | 0.0182 | 19.0 | 116470 | 0.1388 | 251594480 |
72
+ | 0.0545 | 20.0 | 122600 | 0.1379 | 264840880 |
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:ebe5083016fe5e289dbecce94d51b195e37e782b7be8ea5ea65a5a46985f68fb
3
  size 798032
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5e882d9f25cf5116a91e5fc9e25a7478d98a72e0d9f429e92513bacbac8a6976
3
  size 798032