Hugging Face's logo

rbelanec
/
train_copa_1757340253

PEFT
Safetensors
llama-factory
p-tuning
Generated from Trainer
Model card Files
xet
 Community
rbelanec commited on
Commit
f875d0d
·
verified ·
1 Parent(s): 61bb2d9

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_copa_1757340253
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_copa_1757340253
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: 0.2313
21
+ - Num Input Tokens Seen: 281984
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: 789
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
+ | 0.411 | 0.5 | 45 | 0.3011 | 14240 |
54
+ | 0.2838 | 1.0 | 90 | 0.2367 | 28192 |
55
+ | 0.2526 | 1.5 | 135 | 0.2344 | 42080 |
56
+ | 0.2443 | 2.0 | 180 | 0.2417 | 56192 |
57
+ | 0.2322 | 2.5 | 225 | 0.2302 | 70048 |
58
+ | 0.2431 | 3.0 | 270 | 0.2324 | 84192 |
59
+ | 0.2331 | 3.5 | 315 | 0.2341 | 98304 |
60
+ | 0.2335 | 4.0 | 360 | 0.2316 | 112544 |
61
+ | 0.2376 | 4.5 | 405 | 0.2335 | 126784 |
62
+ | 0.2371 | 5.0 | 450 | 0.2323 | 140960 |
63
+ | 0.2308 | 5.5 | 495 | 0.2329 | 155200 |
64
+ | 0.2303 | 6.0 | 540 | 0.2314 | 169216 |
65
+ | 0.2276 | 6.5 | 585 | 0.2329 | 183232 |
66
+ | 0.2262 | 7.0 | 630 | 0.2323 | 197248 |
67
+ | 0.2449 | 7.5 | 675 | 0.2311 | 211424 |
68
+ | 0.2253 | 8.0 | 720 | 0.2308 | 225440 |
69
+ | 0.2314 | 8.5 | 765 | 0.2292 | 239392 |
70
+ | 0.2314 | 9.0 | 810 | 0.2329 | 253632 |
71
+ | 0.2303 | 9.5 | 855 | 0.2335 | 267680 |
72
+ | 0.2304 | 10.0 | 900 | 0.2313 | 281984 |
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 sha256:5f1054cfdc8c78e0bbf44c94d0a74b8accc4fdf475c7545244d66c75c627e166
3
  size 1638528
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:977af56988c820b72f8debfb7eddd3c98d650d5aeabdd3560990255f3ff72374
3
  size 1638528