rbelanec commited on
Commit
f74e96a
·
verified ·
1 Parent(s): f589a5e

Model save

Browse files
Files changed (2) hide show
  1. README.md +80 -0
  2. adapter_model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_cb_1757340217
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_cb_1757340217
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: 0.2125
21
+ - Num Input Tokens Seen: 347976
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: 456
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
+ | 0.4646 | 0.5088 | 29 | 0.2152 | 18048 |
54
+ | 0.4224 | 1.0175 | 58 | 0.2754 | 36328 |
55
+ | 0.1384 | 1.5263 | 87 | 0.1717 | 56168 |
56
+ | 0.9708 | 2.0351 | 116 | 0.1764 | 73792 |
57
+ | 0.187 | 2.5439 | 145 | 0.1948 | 92768 |
58
+ | 0.1273 | 3.0526 | 174 | 0.1582 | 110064 |
59
+ | 0.0853 | 3.5614 | 203 | 0.1560 | 129808 |
60
+ | 0.5225 | 4.0702 | 232 | 0.2043 | 147240 |
61
+ | 0.0862 | 4.5789 | 261 | 0.2014 | 164744 |
62
+ | 0.0088 | 5.0877 | 290 | 0.1787 | 184440 |
63
+ | 0.0051 | 5.5965 | 319 | 0.1657 | 202456 |
64
+ | 0.001 | 6.1053 | 348 | 0.1849 | 220288 |
65
+ | 0.1069 | 6.6140 | 377 | 0.1918 | 239200 |
66
+ | 0.0181 | 7.1228 | 406 | 0.1944 | 256296 |
67
+ | 0.0004 | 7.6316 | 435 | 0.1970 | 275688 |
68
+ | 0.0886 | 8.1404 | 464 | 0.1968 | 294608 |
69
+ | 0.1007 | 8.6491 | 493 | 0.2060 | 312144 |
70
+ | 0.0083 | 9.1579 | 522 | 0.2111 | 330152 |
71
+ | 0.0012 | 9.6667 | 551 | 0.2125 | 347976 |
72
+
73
+
74
+ ### Framework versions
75
+
76
+ - PEFT 0.15.2
77
+ - Transformers 4.51.3
78
+ - Pytorch 2.8.0+cu128
79
+ - Datasets 3.6.0
80
+ - Tokenizers 0.21.1
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7309cec3410cc401859dc3837164596b8b8c69c7da92f7176d3035395df98f97
3
  size 1638528
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9cc84c5df577c999481fd8680f1cf483ccafff27effccfd1be264809bf6f5433
3
  size 1638528