ALBADDAWI commited on
Commit
93795b2
1 Parent(s): 62ba193

End of training

Browse files
Files changed (4) hide show
  1. README.md +64 -180
  2. adapter_config.json +36 -0
  3. adapter_model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md CHANGED
@@ -1,199 +1,83 @@
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
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
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: 3.7958
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: 2e-05
41
+ - train_batch_size: 10
42
+ - eval_batch_size: 10
43
+ - seed: 42
44
+ - gradient_accumulation_steps: 10
45
+ - total_train_batch_size: 100
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: constant
48
+ - num_epochs: 2000
49
+ - mixed_precision_training: Native AMP
50
 
51
+ ### Training results
52
 
53
+ | Training Loss | Epoch | Step | Validation Loss |
54
+ |:-------------:|:------:|:----:|:---------------:|
55
+ | 0.0077 | 100.0 | 100 | 2.3782 |
56
+ | 0.0005 | 200.0 | 200 | 2.9807 |
57
+ | 0.0004 | 300.0 | 300 | 3.1002 |
58
+ | 0.0004 | 400.0 | 400 | 3.1932 |
59
+ | 0.0004 | 500.0 | 500 | 3.2895 |
60
+ | 0.0004 | 600.0 | 600 | 3.3658 |
61
+ | 0.0003 | 700.0 | 700 | 3.3978 |
62
+ | 0.0004 | 800.0 | 800 | 3.4260 |
63
+ | 0.0004 | 900.0 | 900 | 3.5341 |
64
+ | 0.0003 | 1000.0 | 1000 | 3.5190 |
65
+ | 0.0004 | 1100.0 | 1100 | 3.5536 |
66
+ | 0.0003 | 1200.0 | 1200 | 3.5967 |
67
+ | 0.0003 | 1300.0 | 1300 | 3.6020 |
68
+ | 0.0004 | 1400.0 | 1400 | 3.6300 |
69
+ | 0.0004 | 1500.0 | 1500 | 3.6133 |
70
+ | 0.0003 | 1600.0 | 1600 | 3.7128 |
71
+ | 0.0003 | 1700.0 | 1700 | 3.7430 |
72
+ | 0.0003 | 1800.0 | 1800 | 3.7682 |
73
+ | 0.0003 | 1900.0 | 1900 | 3.7548 |
74
+ | 0.0003 | 2000.0 | 2000 | 3.7958 |
75
 
 
76
 
77
+ ### Framework versions
78
 
79
+ - PEFT 0.9.0
80
+ - Transformers 4.38.2
81
+ - Pytorch 2.2.1+cu121
82
+ - Datasets 2.18.0
83
+ - 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": 18,
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": 18,
22
+ "rank_pattern": {},
23
+ "revision": null,
24
+ "target_modules": [
25
+ "down_proj",
26
+ "k_proj",
27
+ "o_proj",
28
+ "v_proj",
29
+ "up_proj",
30
+ "gate_proj",
31
+ "q_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 sha256:0e53ce100f31536bdcec2d98c72a7d7c1d41eefaf575d1fe051aef37dfa51f55
3
+ size 4282591192
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f076e7ae10a348e51242474cdc1d89d688bc3605c121132bd5065422f89b9d87
3
+ size 4920