Spruteus commited on
Commit
8a5f636
1 Parent(s): 8a08a4b

Spruteus/Qwen_32B_brevity_finetuned

Browse files
README.md CHANGED
@@ -1,201 +1,91 @@
1
  ---
2
- library_name: transformers
 
3
  tags:
4
  - trl
5
  - sft
 
 
 
 
 
6
  ---
7
 
8
- # Model Card for Model ID
9
-
10
- <!-- Provide a quick summary of what the model is/does. -->
11
-
12
-
13
-
14
- ## Model Details
15
-
16
- ### Model Description
17
-
18
- <!-- Provide a longer summary of what this model is. -->
19
-
20
- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
21
-
22
- - **Developed by:** [More Information Needed]
23
- - **Funded by [optional]:** [More Information Needed]
24
- - **Shared by [optional]:** [More Information Needed]
25
- - **Model type:** [More Information Needed]
26
- - **Language(s) (NLP):** [More Information Needed]
27
- - **License:** [More Information Needed]
28
- - **Finetuned from model [optional]:** [More Information Needed]
29
-
30
- ### Model Sources [optional]
31
-
32
- <!-- Provide the basic links for the model. -->
33
-
34
- - **Repository:** [More Information Needed]
35
- - **Paper [optional]:** [More Information Needed]
36
- - **Demo [optional]:** [More Information Needed]
37
-
38
- ## Uses
39
-
40
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
41
-
42
- ### Direct Use
43
-
44
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
45
-
46
- [More Information Needed]
47
-
48
- ### Downstream Use [optional]
49
-
50
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
51
-
52
- [More Information Needed]
53
-
54
- ### Out-of-Scope Use
55
-
56
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
57
-
58
- [More Information Needed]
59
-
60
- ## Bias, Risks, and Limitations
61
-
62
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
63
-
64
- [More Information Needed]
65
-
66
- ### Recommendations
67
-
68
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
69
-
70
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
71
-
72
- ## How to Get Started with the Model
73
-
74
- Use the code below to get started with the model.
75
-
76
- [More Information Needed]
77
-
78
- ## Training Details
79
-
80
- ### Training Data
81
-
82
- <!-- 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. -->
83
-
84
- [More Information Needed]
85
-
86
- ### Training Procedure
87
-
88
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
89
-
90
- #### Preprocessing [optional]
91
-
92
- [More Information Needed]
93
-
94
-
95
- #### Training Hyperparameters
96
-
97
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
98
-
99
- #### Speeds, Sizes, Times [optional]
100
-
101
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
102
-
103
- [More Information Needed]
104
-
105
- ## Evaluation
106
-
107
- <!-- This section describes the evaluation protocols and provides the results. -->
108
-
109
- ### Testing Data, Factors & Metrics
110
-
111
- #### Testing Data
112
-
113
- <!-- This should link to a Dataset Card if possible. -->
114
-
115
- [More Information Needed]
116
-
117
- #### Factors
118
-
119
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
120
-
121
- [More Information Needed]
122
-
123
- #### Metrics
124
-
125
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
126
-
127
- [More Information Needed]
128
-
129
- ### Results
130
-
131
- [More Information Needed]
132
-
133
- #### Summary
134
-
135
-
136
-
137
- ## Model Examination [optional]
138
-
139
- <!-- Relevant interpretability work for the model goes here -->
140
-
141
- [More Information Needed]
142
-
143
- ## Environmental Impact
144
-
145
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
146
-
147
- 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).
148
-
149
- - **Hardware Type:** [More Information Needed]
150
- - **Hours used:** [More Information Needed]
151
- - **Cloud Provider:** [More Information Needed]
152
- - **Compute Region:** [More Information Needed]
153
- - **Carbon Emitted:** [More Information Needed]
154
-
155
- ## Technical Specifications [optional]
156
-
157
- ### Model Architecture and Objective
158
-
159
- [More Information Needed]
160
-
161
- ### Compute Infrastructure
162
-
163
- [More Information Needed]
164
-
165
- #### Hardware
166
-
167
- [More Information Needed]
168
-
169
- #### Software
170
-
171
- [More Information Needed]
172
-
173
- ## Citation [optional]
174
-
175
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
176
-
177
- **BibTeX:**
178
-
179
- [More Information Needed]
180
-
181
- **APA:**
182
-
183
- [More Information Needed]
184
-
185
- ## Glossary [optional]
186
-
187
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
188
-
189
- [More Information Needed]
190
-
191
- ## More Information [optional]
192
-
193
- [More Information Needed]
194
-
195
- ## Model Card Authors [optional]
196
-
197
- [More Information Needed]
198
-
199
- ## Model Card Contact
200
-
201
- [More Information Needed]
 
1
  ---
2
+ license: other
3
+ library_name: peft
4
  tags:
5
  - trl
6
  - sft
7
+ - generated_from_trainer
8
+ base_model: Qwen/Qwen1.5-32B-Chat
9
+ model-index:
10
+ - name: Qwen_32B_brevity_finetuned
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
+ # Qwen_32B_brevity_finetuned
18
+
19
+ This model is a fine-tuned version of [Qwen/Qwen1.5-32B-Chat](https://huggingface.co/Qwen/Qwen1.5-32B-Chat) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.4598
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: 4
42
+ - eval_batch_size: 4
43
+ - seed: 42
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: linear
46
+ - lr_scheduler_warmup_steps: 30
47
+ - training_steps: 300
48
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss |
52
+ |:-------------:|:-----:|:----:|:---------------:|
53
+ | 3.5689 | 1.0 | 10 | 3.4447 |
54
+ | 3.3897 | 2.0 | 20 | 3.1637 |
55
+ | 3.0419 | 3.0 | 30 | 2.7805 |
56
+ | 2.646 | 4.0 | 40 | 2.3927 |
57
+ | 2.2145 | 5.0 | 50 | 1.9464 |
58
+ | 1.6159 | 6.0 | 60 | 1.2767 |
59
+ | 0.8947 | 7.0 | 70 | 0.7462 |
60
+ | 0.5729 | 8.0 | 80 | 0.6091 |
61
+ | 0.4858 | 9.0 | 90 | 0.5534 |
62
+ | 0.4338 | 10.0 | 100 | 0.5046 |
63
+ | 0.3885 | 11.0 | 110 | 0.4680 |
64
+ | 0.3457 | 12.0 | 120 | 0.4339 |
65
+ | 0.3003 | 13.0 | 130 | 0.4091 |
66
+ | 0.2573 | 14.0 | 140 | 0.3947 |
67
+ | 0.2167 | 15.0 | 150 | 0.3864 |
68
+ | 0.1771 | 16.0 | 160 | 0.3882 |
69
+ | 0.1399 | 17.0 | 170 | 0.3901 |
70
+ | 0.1083 | 18.0 | 180 | 0.3994 |
71
+ | 0.0835 | 19.0 | 190 | 0.4049 |
72
+ | 0.0601 | 20.0 | 200 | 0.4176 |
73
+ | 0.0483 | 21.0 | 210 | 0.4301 |
74
+ | 0.0363 | 22.0 | 220 | 0.4378 |
75
+ | 0.0313 | 23.0 | 230 | 0.4436 |
76
+ | 0.0278 | 24.0 | 240 | 0.4486 |
77
+ | 0.023 | 25.0 | 250 | 0.4504 |
78
+ | 0.0205 | 26.0 | 260 | 0.4549 |
79
+ | 0.0199 | 27.0 | 270 | 0.4586 |
80
+ | 0.0191 | 28.0 | 280 | 0.4584 |
81
+ | 0.0183 | 29.0 | 290 | 0.4593 |
82
+ | 0.0204 | 30.0 | 300 | 0.4598 |
83
+
84
+
85
+ ### Framework versions
86
+
87
+ - PEFT 0.11.1
88
+ - Transformers 4.41.0
89
+ - Pytorch 2.3.0+cu121
90
+ - Datasets 2.19.1
91
+ - Tokenizers 0.19.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Qwen/Qwen1.5-32B-Chat",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 16,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "down_proj",
24
+ "v_proj",
25
+ "q_proj",
26
+ "o_proj",
27
+ "k_proj",
28
+ "gate_proj",
29
+ "up_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5cec0808621c0b5f689532f7c0b3fef3ecb8211528b6f18ad12f22029440e754
3
+ size 533846256
added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|endoftext|>": 151643,
3
+ "<|im_end|>": 151645,
4
+ "<|im_start|>": 151644
5
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
runs/May19_12-27-57_bf19e43549d5/events.out.tfevents.1716121684.bf19e43549d5.240.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2eae7501121cd4ececdb06198d8a24e29088a66797a7e664ced989ce3d33bbb3
3
+ size 20116
special_tokens_map.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "eos_token": {
7
+ "content": "<|im_end|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "pad_token": "<|im_end|>"
14
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_eos_token": true,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ }
29
+ },
30
+ "additional_special_tokens": [
31
+ "<|im_start|>",
32
+ "<|im_end|>"
33
+ ],
34
+ "bos_token": null,
35
+ "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
36
+ "clean_up_tokenization_spaces": false,
37
+ "eos_token": "<|im_end|>",
38
+ "errors": "replace",
39
+ "model_max_length": 32768,
40
+ "pad_token": "<|im_end|>",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null
44
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6dd1dc17b45e02d4400a577545ffdc21324834a4611a3b6f9832530ae06a06fb
3
+ size 5112
vocab.json ADDED
The diff for this file is too large to render. See raw diff