BaoTNguyen commited on
Commit
1f6e24a
1 Parent(s): 2a84aa1

baotnguyen/ncis

Browse files
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.1148
22
- - Accuracy: 0.9545
23
 
24
  ## Model description
25
 
@@ -50,12 +50,10 @@ The following hyperparameters were used during training:
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
53
- | 0.5913 | 1.0 | 37 | 0.6625 | 0.7778 |
54
- | 0.3835 | 2.0 | 74 | 0.2032 | 0.9040 |
55
- | 0.2724 | 3.0 | 111 | 0.1148 | 0.9545 |
56
- | 0.1354 | 4.0 | 148 | 0.2613 | 0.9646 |
57
- | 0.034 | 5.0 | 185 | 0.2067 | 0.9646 |
58
- | 0.062 | 6.0 | 222 | 0.2459 | 0.9747 |
59
 
60
 
61
  ### Framework versions
@@ -63,5 +61,5 @@ The following hyperparameters were used during training:
63
  - PEFT 0.12.0
64
  - Transformers 4.44.0
65
  - Pytorch 2.1.2
66
- - Datasets 2.20.0
67
  - Tokenizers 0.19.1
 
18
 
19
  This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.1850
22
+ - Accuracy: 0.9192
23
 
24
  ## Model description
25
 
 
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
53
+ | 0.4941 | 1.0 | 37 | 0.1850 | 0.9192 |
54
+ | 1.0952 | 2.0 | 74 | 0.4716 | 0.8737 |
55
+ | 0.221 | 3.0 | 111 | 0.3881 | 0.8636 |
56
+ | 0.3177 | 4.0 | 148 | 0.1900 | 0.9596 |
 
 
57
 
58
 
59
  ### Framework versions
 
61
  - PEFT 0.12.0
62
  - Transformers 4.44.0
63
  - Pytorch 2.1.2
64
+ - Datasets 2.21.0
65
  - Tokenizers 0.19.1
adapter_config.json CHANGED
@@ -23,10 +23,10 @@
23
  "rank_pattern": {},
24
  "revision": null,
25
  "target_modules": [
26
- "k_proj",
27
- "v_proj",
28
  "o_proj",
29
- "q_proj"
 
 
30
  ],
31
  "task_type": "SEQ_CLS",
32
  "use_dora": false,
 
23
  "rank_pattern": {},
24
  "revision": null,
25
  "target_modules": [
 
 
26
  "o_proj",
27
+ "k_proj",
28
+ "q_proj",
29
+ "v_proj"
30
  ],
31
  "task_type": "SEQ_CLS",
32
  "use_dora": false,
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5de477e27cb0cff9296879a93d0b91e4dd1d00cc0170463899017218b0d2a9e4
3
  size 54593240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8c9cb8364228b9f77e8f99ec3e9385e6395fdd2f5ea94a0a0a93c6c5ea59c75e
3
  size 54593240
runs/Aug14_22-30-42_2b24443ee4ab/events.out.tfevents.1723674643.2b24443ee4ab.34.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b91386bfcc77e2b3656c10ae7dca29c1e89269abe302ba1434a4a5ef0160c46
3
+ size 13050
runs/Aug14_22-30-42_2b24443ee4ab/events.out.tfevents.1723675568.2b24443ee4ab.34.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:768330bdacf02cc40e7caf0ae6d9e80051c603464a0d4f19b92fb491691804c0
3
+ size 411
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d30a2bf07e4f43cb53ebee8cb01f77367fc8fe9c92b241d3cd93ccec092c1a9b
3
  size 5176
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:22c453b1c3d4196ee54f74e3487e2f372819a699e3c9a1374ca28f81e8590b97
3
  size 5176