Hugging Face's logo

rbelanec
/
train_record_1754594729

PEFT
Safetensors
llama-factory
prompt-tuning
Generated from Trainer
Model card Files
xet
Community
rbelanec commited on
Commit
0a40d56
路
verified 路
1 Parent(s): b2e198b

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_record_1754594729
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_record_1754594729
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: 0.3472
21
+ - Num Input Tokens Seen: 464483424
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
+ | 0.5711 | 0.5 | 15621 | 0.6434 | 23227520 |
54
+ | 0.4926 | 1.0 | 31242 | 0.5021 | 46454112 |
55
+ | 0.4776 | 1.5 | 46863 | 0.4279 | 69694624 |
56
+ | 0.2224 | 2.0 | 62484 | 0.3974 | 92908288 |
57
+ | 0.2756 | 2.5 | 78105 | 0.3910 | 116099296 |
58
+ | 0.315 | 3.0 | 93726 | 0.3748 | 139351808 |
59
+ | 0.3339 | 3.5 | 109347 | 0.3696 | 162566976 |
60
+ | 0.3642 | 4.0 | 124968 | 0.3616 | 185790304 |
61
+ | 0.2647 | 4.5 | 140589 | 0.3546 | 208997696 |
62
+ | 0.461 | 5.0 | 156210 | 0.3507 | 232243968 |
63
+ | 0.2471 | 5.5 | 171831 | 0.3520 | 255458112 |
64
+ | 0.389 | 6.0 | 187452 | 0.3460 | 278686752 |
65
+ | 0.3541 | 6.5 | 203073 | 0.3478 | 301925344 |
66
+ | 0.2941 | 7.0 | 218694 | 0.3463 | 325137568 |
67
+ | 0.4292 | 7.5 | 234315 | 0.3475 | 348361920 |
68
+ | 0.3843 | 8.0 | 249936 | 0.3474 | 371592704 |
69
+ | 0.2701 | 8.5 | 265557 | 0.3475 | 394838368 |
70
+ | 0.3541 | 9.0 | 281178 | 0.3473 | 418033696 |
71
+ | 0.5188 | 9.5 | 296799 | 0.3472 | 441282560 |
72
+ | 0.3273 | 10.0 | 312420 | 0.3472 | 464483424 |
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 sha256:27a006f45089dd7392c0f043ec5ade0aeba2d736fccde0a4b4b392c1b06c9222
3
  size 819328
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0ea14e2ae114fdcd146eb0ff39840985dcd3e927922a468299a16b734abf0b69
3
  size 819328