BohdanPetryshyn commited on
Commit
d5fa8cd
1 Parent(s): 43a912e

Model save

Browse files
Files changed (1) hide show
  1. README.md +72 -0
README.md ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: llama2
3
+ library_name: peft
4
+ tags:
5
+ - generated_from_trainer
6
+ base_model: codellama/CodeLlama-7b-hf
7
+ model-index:
8
+ - name: codellama-7b-openapi-completion-ctx-lvl-fim-05-spm-2048
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bohdan-petryshyn/huggingface/runs/5n8v36we)
16
+ # codellama-7b-openapi-completion-ctx-lvl-fim-05-spm-2048
17
+
18
+ This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.6230
21
+
22
+ ## Model description
23
+
24
+ More information needed
25
+
26
+ ## Intended uses & limitations
27
+
28
+ More information needed
29
+
30
+ ## Training and evaluation data
31
+
32
+ More information needed
33
+
34
+ ## Training procedure
35
+
36
+ ### Training hyperparameters
37
+
38
+ The following hyperparameters were used during training:
39
+ - learning_rate: 0.0002
40
+ - train_batch_size: 4
41
+ - eval_batch_size: 4
42
+ - seed: 42
43
+ - gradient_accumulation_steps: 8
44
+ - total_train_batch_size: 32
45
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
+ - lr_scheduler_type: cosine
47
+ - lr_scheduler_warmup_ratio: 0.05
48
+ - training_steps: 1000
49
+
50
+ ### Training results
51
+
52
+ | Training Loss | Epoch | Step | Validation Loss |
53
+ |:-------------:|:-----:|:----:|:---------------:|
54
+ | 0.565 | 0.1 | 100 | 0.6378 |
55
+ | 0.4333 | 0.2 | 200 | 0.6510 |
56
+ | 0.2143 | 0.3 | 300 | 0.6492 |
57
+ | 0.5989 | 0.4 | 400 | 0.6225 |
58
+ | 0.4088 | 0.5 | 500 | 0.6230 |
59
+ | 0.3385 | 0.6 | 600 | 0.6325 |
60
+ | 0.644 | 0.7 | 700 | 0.6205 |
61
+ | 0.4412 | 0.8 | 800 | 0.6138 |
62
+ | 0.6179 | 0.9 | 900 | 0.6195 |
63
+ | 0.3764 | 1.0 | 1000 | 0.6230 |
64
+
65
+
66
+ ### Framework versions
67
+
68
+ - PEFT 0.10.1.dev0
69
+ - Transformers 4.41.0.dev0
70
+ - Pytorch 2.2.2+cu121
71
+ - Datasets 2.19.1
72
+ - Tokenizers 0.19.1