Hugging Face's logo

PurCL
/
src_prober_codellama-7b-last1unfreeze

Text2Text Generation
Transformers
Safetensors
rad-prober
Generated from Trainer
Inference Endpoints
Model card Files Community
sheepy928 commited on
Commit
489288a
•
1 Parent(s): aa56c69

Model save

Browse files
Files changed (6) hide show
  1. README.md +81 -0
  2. generation_config.json +4 -0
  3. model.safetensors +1 -1
  4. special_tokens_map.json +37 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +60 -0
README.md ADDED
@@ -0,0 +1,81 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ model-index:
5
+ - name: src_prober_codellama-7b-last1unfreeze
6
+ results: []
7
+ ---
8
+
9
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
10
+ should probably proofread and complete it, then remove this comment. -->
11
+
12
+ # src_prober_codellama-7b-last1unfreeze
13
+
14
+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
15
+ It achieves the following results on the evaluation set:
16
+ - Loss: 0.6729
17
+
18
+ ## Model description
19
+
20
+ More information needed
21
+
22
+ ## Intended uses & limitations
23
+
24
+ More information needed
25
+
26
+ ## Training and evaluation data
27
+
28
+ More information needed
29
+
30
+ ## Training procedure
31
+
32
+ ### Training hyperparameters
33
+
34
+ The following hyperparameters were used during training:
35
+ - learning_rate: 5e-05
36
+ - train_batch_size: 8
37
+ - eval_batch_size: 32
38
+ - seed: 42
39
+ - distributed_type: multi-GPU
40
+ - num_devices: 4
41
+ - gradient_accumulation_steps: 4
42
+ - total_train_batch_size: 128
43
+ - total_eval_batch_size: 128
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: cosine
46
+ - lr_scheduler_warmup_steps: 1000
47
+ - num_epochs: 5
48
+ - mixed_precision_training: Native AMP
49
+
50
+ ### Training results
51
+
52
+ | Training Loss | Epoch | Step | Validation Loss |
53
+ |:-------------:|:-----:|:-----:|:---------------:|
54
+ | 0.7634 | 0.24 | 500 | 0.7745 |
55
+ | 0.7376 | 0.48 | 1000 | 0.7399 |
56
+ | 0.7006 | 0.72 | 1500 | 0.7138 |
57
+ | 0.6721 | 0.97 | 2000 | 0.7015 |
58
+ | 0.6753 | 1.21 | 2500 | 0.6941 |
59
+ | 0.6716 | 1.45 | 3000 | 0.6894 |
60
+ | 0.6595 | 1.69 | 3500 | 0.6865 |
61
+ | 0.6743 | 1.93 | 4000 | 0.6848 |
62
+ | 0.6647 | 2.17 | 4500 | 0.6819 |
63
+ | 0.6721 | 2.42 | 5000 | 0.6797 |
64
+ | 0.6642 | 2.66 | 5500 | 0.6780 |
65
+ | 0.6653 | 2.9 | 6000 | 0.6764 |
66
+ | 0.643 | 3.14 | 6500 | 0.6756 |
67
+ | 0.6532 | 3.38 | 7000 | 0.6749 |
68
+ | 0.6299 | 3.62 | 7500 | 0.6745 |
69
+ | 0.6442 | 3.87 | 8000 | 0.6737 |
70
+ | 0.6347 | 4.11 | 8500 | 0.6733 |
71
+ | 0.6364 | 4.35 | 9000 | 0.6730 |
72
+ | 0.6456 | 4.59 | 9500 | 0.6728 |
73
+ | 0.6338 | 4.83 | 10000 | 0.6729 |
74
+
75
+
76
+ ### Framework versions
77
+
78
+ - Transformers 4.39.3
79
+ - Pytorch 2.2.0
80
+ - Datasets 2.17.0
81
+ - Tokenizers 0.15.2
generation_config.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "transformers_version": "4.39.3"
4
+ }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3e4bf2d722e84d6169f33e1a745dcb67a281e625237ea812124e404bc7ca95c9
3
  size 579945600
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e6040b9a27a9d77e560fb632716b79e00bb3d4eeca289df5882dfdb899e8e06b
3
  size 579945600
special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "mask_token": {
10
+ "content": "[MASK]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "sep_token": {
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "unk_token": {
31
+ "content": "[UNK]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ }
37
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[UNK]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "[CLS]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "[SEP]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "[PAD]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "4": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ },
43
+ "30522": {
44
+ "content": "<INST>",
45
+ "lstrip": false,
46
+ "normalized": true,
47
+ "rstrip": false,
48
+ "single_word": false,
49
+ "special": false
50
+ }
51
+ },
52
+ "clean_up_tokenization_spaces": true,
53
+ "cls_token": "[CLS]",
54
+ "mask_token": "[MASK]",
55
+ "model_max_length": 512,
56
+ "pad_token": "[PAD]",
57
+ "sep_token": "[SEP]",
58
+ "tokenizer_class": "LongelmTokenizer",
59
+ "unk_token": "[UNK]"
60
+ }