Hugging Face's logo

ALBADDAWI
/
ft-google-gemma-2b-it-qlora-v2

PEFT
Safetensors
trl
sft
Generated from Trainer
Model card Files
xet
Community
ALBADDAWI commited on
Commit
994a1c1
·
verified ·
1 Parent(s): d8b9cbf

End of training

Browse files
Files changed (4) hide show
  1. README.md +160 -196
  2. adapter_config.json +36 -0
  3. adapter_model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md CHANGED
@@ -1,199 +1,163 @@
1
  ---
2
- library_name: transformers
3
- tags: []
 
 
 
 
 
 
 
 
4
  ---
5
 
6
- # Model Card for Model ID
7
-
8
- <!-- Provide a quick summary of what the model is/does. -->
9
-
10
-
11
-
12
- ## Model Details
13
-
14
- ### Model Description
15
-
16
- <!-- Provide a longer summary of what this model is. -->
17
-
18
- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
19
-
20
- - **Developed by:** [More Information Needed]
21
- - **Funded by [optional]:** [More Information Needed]
22
- - **Shared by [optional]:** [More Information Needed]
23
- - **Model type:** [More Information Needed]
24
- - **Language(s) (NLP):** [More Information Needed]
25
- - **License:** [More Information Needed]
26
- - **Finetuned from model [optional]:** [More Information Needed]
27
-
28
- ### Model Sources [optional]
29
-
30
- <!-- Provide the basic links for the model. -->
31
-
32
- - **Repository:** [More Information Needed]
33
- - **Paper [optional]:** [More Information Needed]
34
- - **Demo [optional]:** [More Information Needed]
35
-
36
- ## Uses
37
-
38
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
-
40
- ### Direct Use
41
-
42
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
-
44
- [More Information Needed]
45
-
46
- ### Downstream Use [optional]
47
-
48
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
-
50
- [More Information Needed]
51
-
52
- ### Out-of-Scope Use
53
-
54
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
-
56
- [More Information Needed]
57
-
58
- ## Bias, Risks, and Limitations
59
-
60
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
-
62
- [More Information Needed]
63
-
64
- ### Recommendations
65
-
66
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
-
68
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
-
70
- ## How to Get Started with the Model
71
-
72
- Use the code below to get started with the model.
73
-
74
- [More Information Needed]
75
-
76
- ## Training Details
77
-
78
- ### Training Data
79
-
80
- <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
-
82
- [More Information Needed]
83
-
84
- ### Training Procedure
85
-
86
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
-
88
- #### Preprocessing [optional]
89
-
90
- [More Information Needed]
91
-
92
-
93
- #### Training Hyperparameters
94
-
95
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
-
97
- #### Speeds, Sizes, Times [optional]
98
-
99
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
-
101
- [More Information Needed]
102
-
103
- ## Evaluation
104
-
105
- <!-- This section describes the evaluation protocols and provides the results. -->
106
-
107
- ### Testing Data, Factors & Metrics
108
-
109
- #### Testing Data
110
-
111
- <!-- This should link to a Dataset Card if possible. -->
112
-
113
- [More Information Needed]
114
-
115
- #### Factors
116
-
117
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
-
119
- [More Information Needed]
120
-
121
- #### Metrics
122
-
123
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
-
125
- [More Information Needed]
126
-
127
- ### Results
128
-
129
- [More Information Needed]
130
-
131
- #### Summary
132
-
133
-
134
-
135
- ## Model Examination [optional]
136
-
137
- <!-- Relevant interpretability work for the model goes here -->
138
-
139
- [More Information Needed]
140
-
141
- ## Environmental Impact
142
-
143
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
-
145
- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
-
147
- - **Hardware Type:** [More Information Needed]
148
- - **Hours used:** [More Information Needed]
149
- - **Cloud Provider:** [More Information Needed]
150
- - **Compute Region:** [More Information Needed]
151
- - **Carbon Emitted:** [More Information Needed]
152
-
153
- ## Technical Specifications [optional]
154
-
155
- ### Model Architecture and Objective
156
-
157
- [More Information Needed]
158
-
159
- ### Compute Infrastructure
160
-
161
- [More Information Needed]
162
-
163
- #### Hardware
164
-
165
- [More Information Needed]
166
-
167
- #### Software
168
-
169
- [More Information Needed]
170
-
171
- ## Citation [optional]
172
-
173
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
-
175
- **BibTeX:**
176
-
177
- [More Information Needed]
178
-
179
- **APA:**
180
-
181
- [More Information Needed]
182
-
183
- ## Glossary [optional]
184
-
185
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
-
187
- [More Information Needed]
188
-
189
- ## More Information [optional]
190
-
191
- [More Information Needed]
192
-
193
- ## Model Card Authors [optional]
194
-
195
- [More Information Needed]
196
-
197
- ## Model Card Contact
198
-
199
- [More Information Needed]
 
1
  ---
2
+ license: other
3
+ library_name: peft
4
+ tags:
5
+ - trl
6
+ - sft
7
+ - generated_from_trainer
8
+ base_model: google/gemma-2b-it
9
+ model-index:
10
+ - name: ft-google-gemma-2b-it-qlora-v2
11
+ results: []
12
  ---
13
 
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # ft-google-gemma-2b-it-qlora-v2
18
+
19
+ This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the None dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 5.8028
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: 3e-05
41
+ - train_batch_size: 10
42
+ - eval_batch_size: 10
43
+ - seed: 42
44
+ - gradient_accumulation_steps: 8
45
+ - total_train_batch_size: 80
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: constant
48
+ - num_epochs: 1000
49
+ - mixed_precision_training: Native AMP
50
+
51
+ ### Training results
52
+
53
+ | Training Loss | Epoch | Step | Validation Loss |
54
+ |:-------------:|:------:|:----:|:---------------:|
55
+ | 0.2955 | 10.0 | 10 | 2.7587 |
56
+ | 0.232 | 20.0 | 20 | 2.5366 |
57
+ | 0.177 | 30.0 | 30 | 2.4293 |
58
+ | 0.1317 | 40.0 | 40 | 2.4247 |
59
+ | 0.0893 | 50.0 | 50 | 2.5725 |
60
+ | 0.0472 | 60.0 | 60 | 2.8254 |
61
+ | 0.0147 | 70.0 | 70 | 3.2230 |
62
+ | 0.0035 | 80.0 | 80 | 3.7653 |
63
+ | 0.0015 | 90.0 | 90 | 4.0707 |
64
+ | 0.0008 | 100.0 | 100 | 4.2730 |
65
+ | 0.0006 | 110.0 | 110 | 4.3961 |
66
+ | 0.0006 | 120.0 | 120 | 4.4900 |
67
+ | 0.0005 | 130.0 | 130 | 4.5394 |
68
+ | 0.0005 | 140.0 | 140 | 4.5999 |
69
+ | 0.0005 | 150.0 | 150 | 4.6447 |
70
+ | 0.0004 | 160.0 | 160 | 4.6848 |
71
+ | 0.0004 | 170.0 | 170 | 4.7255 |
72
+ | 0.0004 | 180.0 | 180 | 4.7569 |
73
+ | 0.0004 | 190.0 | 190 | 4.7802 |
74
+ | 0.0004 | 200.0 | 200 | 4.8020 |
75
+ | 0.0004 | 210.0 | 210 | 4.8522 |
76
+ | 0.0004 | 220.0 | 220 | 4.8690 |
77
+ | 0.0004 | 230.0 | 230 | 4.8940 |
78
+ | 0.0004 | 240.0 | 240 | 4.9423 |
79
+ | 0.0004 | 250.0 | 250 | 4.9723 |
80
+ | 0.0004 | 260.0 | 260 | 4.9644 |
81
+ | 0.0004 | 270.0 | 270 | 4.9923 |
82
+ | 0.0004 | 280.0 | 280 | 5.0230 |
83
+ | 0.0004 | 290.0 | 290 | 5.0319 |
84
+ | 0.0004 | 300.0 | 300 | 5.0627 |
85
+ | 0.0004 | 310.0 | 310 | 5.1078 |
86
+ | 0.0004 | 320.0 | 320 | 5.1167 |
87
+ | 0.0004 | 330.0 | 330 | 5.1260 |
88
+ | 0.0004 | 340.0 | 340 | 5.1586 |
89
+ | 0.0004 | 350.0 | 350 | 5.1803 |
90
+ | 0.0004 | 360.0 | 360 | 5.1652 |
91
+ | 0.0004 | 370.0 | 370 | 5.1692 |
92
+ | 0.0004 | 380.0 | 380 | 5.1980 |
93
+ | 0.0004 | 390.0 | 390 | 5.2254 |
94
+ | 0.0004 | 400.0 | 400 | 5.2434 |
95
+ | 0.0004 | 410.0 | 410 | 5.2792 |
96
+ | 0.0004 | 420.0 | 420 | 5.2699 |
97
+ | 0.0004 | 430.0 | 430 | 5.2906 |
98
+ | 0.0004 | 440.0 | 440 | 5.3069 |
99
+ | 0.0004 | 450.0 | 450 | 5.3063 |
100
+ | 0.0004 | 460.0 | 460 | 5.3275 |
101
+ | 0.0004 | 470.0 | 470 | 5.3406 |
102
+ | 0.0004 | 480.0 | 480 | 5.3319 |
103
+ | 0.0004 | 490.0 | 490 | 5.3354 |
104
+ | 0.0004 | 500.0 | 500 | 5.3601 |
105
+ | 0.0004 | 510.0 | 510 | 5.4094 |
106
+ | 0.0004 | 520.0 | 520 | 5.4175 |
107
+ | 0.0004 | 530.0 | 530 | 5.4083 |
108
+ | 0.0004 | 540.0 | 540 | 5.3947 |
109
+ | 0.0004 | 550.0 | 550 | 5.4211 |
110
+ | 0.0004 | 560.0 | 560 | 5.4287 |
111
+ | 0.0004 | 570.0 | 570 | 5.4580 |
112
+ | 0.0004 | 580.0 | 580 | 5.4610 |
113
+ | 0.0004 | 590.0 | 590 | 5.4775 |
114
+ | 0.0004 | 600.0 | 600 | 5.5165 |
115
+ | 0.0004 | 610.0 | 610 | 5.5356 |
116
+ | 0.0004 | 620.0 | 620 | 5.5142 |
117
+ | 0.0004 | 630.0 | 630 | 5.4963 |
118
+ | 0.0004 | 640.0 | 640 | 5.5114 |
119
+ | 0.0004 | 650.0 | 650 | 5.5223 |
120
+ | 0.0004 | 660.0 | 660 | 5.5468 |
121
+ | 0.0004 | 670.0 | 670 | 5.5543 |
122
+ | 0.0004 | 680.0 | 680 | 5.5731 |
123
+ | 0.0004 | 690.0 | 690 | 5.6010 |
124
+ | 0.0004 | 700.0 | 700 | 5.6050 |
125
+ | 0.0004 | 710.0 | 710 | 5.6203 |
126
+ | 0.0004 | 720.0 | 720 | 5.6415 |
127
+ | 0.0004 | 730.0 | 730 | 5.6312 |
128
+ | 0.0004 | 740.0 | 740 | 5.6209 |
129
+ | 0.0004 | 750.0 | 750 | 5.6283 |
130
+ | 0.0004 | 760.0 | 760 | 5.6605 |
131
+ | 0.0004 | 770.0 | 770 | 5.6683 |
132
+ | 0.0004 | 780.0 | 780 | 5.6686 |
133
+ | 0.0004 | 790.0 | 790 | 5.6810 |
134
+ | 0.0004 | 800.0 | 800 | 5.6837 |
135
+ | 0.0004 | 810.0 | 810 | 5.7018 |
136
+ | 0.0004 | 820.0 | 820 | 5.7189 |
137
+ | 0.0004 | 830.0 | 830 | 5.7218 |
138
+ | 0.0004 | 840.0 | 840 | 5.7053 |
139
+ | 0.0004 | 850.0 | 850 | 5.7328 |
140
+ | 0.0004 | 860.0 | 860 | 5.7495 |
141
+ | 0.0004 | 870.0 | 870 | 5.7220 |
142
+ | 0.0004 | 880.0 | 880 | 5.7142 |
143
+ | 0.0004 | 890.0 | 890 | 5.7272 |
144
+ | 0.0004 | 900.0 | 900 | 5.7643 |
145
+ | 0.0004 | 910.0 | 910 | 5.7750 |
146
+ | 0.0004 | 920.0 | 920 | 5.7762 |
147
+ | 0.0004 | 930.0 | 930 | 5.7899 |
148
+ | 0.0004 | 940.0 | 940 | 5.7878 |
149
+ | 0.0004 | 950.0 | 950 | 5.7727 |
150
+ | 0.0004 | 960.0 | 960 | 5.7630 |
151
+ | 0.0004 | 970.0 | 970 | 5.7806 |
152
+ | 0.0004 | 980.0 | 980 | 5.7953 |
153
+ | 0.0004 | 990.0 | 990 | 5.7662 |
154
+ | 0.0004 | 1000.0 | 1000 | 5.8028 |
155
+
156
+
157
+ ### Framework versions
158
+
159
+ - PEFT 0.9.0
160
+ - Transformers 4.38.2
161
+ - Pytorch 2.2.1+cu121
162
+ - Datasets 2.18.0
163
+ - Tokenizers 0.15.2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
adapter_config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "google/gemma-2b-it",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 20,
13
+ "lora_dropout": 0.1,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": [
17
+ "lm_head",
18
+ "embed_tokens"
19
+ ],
20
+ "peft_type": "LORA",
21
+ "r": 16,
22
+ "rank_pattern": {},
23
+ "revision": null,
24
+ "target_modules": [
25
+ "down_proj",
26
+ "q_proj",
27
+ "up_proj",
28
+ "v_proj",
29
+ "k_proj",
30
+ "o_proj",
31
+ "gate_proj"
32
+ ],
33
+ "task_type": "CAUSAL_LM",
34
+ "use_dora": false,
35
+ "use_rslora": false
36
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a7f5ec5a6549fd245b510a82ed54ca0da419d738b2cabaa06bf4fd2cd5713fb
3
+ size 4272785368
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83ad9040abacd283c39cf01e5885f8b693b6aa2d331573029557f17e10bfb9b5
3
+ size 4920