RikoteMaster commited on
Commit
ecb2fa6
·
verified ·
1 Parent(s): fe2396b

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -37,3 +37,4 @@ checkpoint-100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
37
  checkpoint-245/tokenizer.json filter=lfs diff=lfs merge=lfs -text
38
  tokenizer.json filter=lfs diff=lfs merge=lfs -text
39
  checkpoint-50/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
37
  checkpoint-245/tokenizer.json filter=lfs diff=lfs merge=lfs -text
38
  tokenizer.json filter=lfs diff=lfs merge=lfs -text
39
  checkpoint-50/tokenizer.json filter=lfs diff=lfs merge=lfs -text
40
+ checkpoint-200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
adapter_config.json CHANGED
@@ -24,13 +24,13 @@
24
  "rank_pattern": {},
25
  "revision": null,
26
  "target_modules": [
 
27
  "v_proj",
28
- "down_proj",
29
  "q_proj",
30
- "k_proj",
31
- "up_proj",
32
  "gate_proj",
33
- "o_proj"
34
  ],
35
  "task_type": "CAUSAL_LM",
36
  "trainable_token_indices": null,
 
24
  "rank_pattern": {},
25
  "revision": null,
26
  "target_modules": [
27
+ "up_proj",
28
  "v_proj",
 
29
  "q_proj",
30
+ "down_proj",
31
+ "o_proj",
32
  "gate_proj",
33
+ "k_proj"
34
  ],
35
  "task_type": "CAUSAL_LM",
36
  "trainable_token_indices": null,
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9d0e7c4e2f44d5f5a9a2e0d7ba6d3a0620bd8f112ad341010974a7aa8d1c8f45
3
  size 40422168
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d0ab04fc19531cc90fbe416c2f161e7ea8037215d395af8964352639b012baa9
3
  size 40422168
checkpoint-200/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen3-0.6B
3
+ library_name: peft
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
+
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]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.15.2
checkpoint-200/adapter_config.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Qwen/Qwen3-0.6B",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 32,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.1,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "r": 16,
24
+ "rank_pattern": {},
25
+ "revision": null,
26
+ "target_modules": [
27
+ "up_proj",
28
+ "v_proj",
29
+ "q_proj",
30
+ "down_proj",
31
+ "o_proj",
32
+ "gate_proj",
33
+ "k_proj"
34
+ ],
35
+ "task_type": "CAUSAL_LM",
36
+ "trainable_token_indices": null,
37
+ "use_dora": false,
38
+ "use_rslora": false
39
+ }
checkpoint-200/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d0ab04fc19531cc90fbe416c2f161e7ea8037215d395af8964352639b012baa9
3
+ size 40422168
checkpoint-200/added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
checkpoint-200/chat_template.jinja ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {{- messages[0].content + '\n\n' }}
5
+ {%- endif %}
6
+ {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
7
+ {%- for tool in tools %}
8
+ {{- "\n" }}
9
+ {{- tool | tojson }}
10
+ {%- endfor %}
11
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
12
+ {%- else %}
13
+ {%- if messages[0].role == 'system' %}
14
+ {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
15
+ {%- endif %}
16
+ {%- endif %}
17
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
18
+ {%- for message in messages[::-1] %}
19
+ {%- set index = (messages|length - 1) - loop.index0 %}
20
+ {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
21
+ {%- set ns.multi_step_tool = false %}
22
+ {%- set ns.last_query_index = index %}
23
+ {%- endif %}
24
+ {%- endfor %}
25
+ {%- for message in messages %}
26
+ {%- if message.content is string %}
27
+ {%- set content = message.content %}
28
+ {%- else %}
29
+ {%- set content = '' %}
30
+ {%- endif %}
31
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
32
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
33
+ {%- elif message.role == "assistant" %}
34
+ {%- set reasoning_content = '' %}
35
+ {%- if message.reasoning_content is string %}
36
+ {%- set reasoning_content = message.reasoning_content %}
37
+ {%- else %}
38
+ {%- if '</think>' in content %}
39
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
40
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
41
+ {%- endif %}
42
+ {%- endif %}
43
+ {%- if loop.index0 > ns.last_query_index %}
44
+ {%- if loop.last or (not loop.last and reasoning_content) %}
45
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
46
+ {%- else %}
47
+ {{- '<|im_start|>' + message.role + '\n' + content }}
48
+ {%- endif %}
49
+ {%- else %}
50
+ {{- '<|im_start|>' + message.role + '\n' + content }}
51
+ {%- endif %}
52
+ {%- if message.tool_calls %}
53
+ {%- for tool_call in message.tool_calls %}
54
+ {%- if (loop.first and content) or (not loop.first) %}
55
+ {{- '\n' }}
56
+ {%- endif %}
57
+ {%- if tool_call.function %}
58
+ {%- set tool_call = tool_call.function %}
59
+ {%- endif %}
60
+ {{- '<tool_call>\n{"name": "' }}
61
+ {{- tool_call.name }}
62
+ {{- '", "arguments": ' }}
63
+ {%- if tool_call.arguments is string %}
64
+ {{- tool_call.arguments }}
65
+ {%- else %}
66
+ {{- tool_call.arguments | tojson }}
67
+ {%- endif %}
68
+ {{- '}\n</tool_call>' }}
69
+ {%- endfor %}
70
+ {%- endif %}
71
+ {{- '<|im_end|>\n' }}
72
+ {%- elif message.role == "tool" %}
73
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
74
+ {{- '<|im_start|>user' }}
75
+ {%- endif %}
76
+ {{- '\n<tool_response>\n' }}
77
+ {{- content }}
78
+ {{- '\n</tool_response>' }}
79
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
80
+ {{- '<|im_end|>\n' }}
81
+ {%- endif %}
82
+ {%- endif %}
83
+ {%- endfor %}
84
+ {%- if add_generation_prompt %}
85
+ {{- '<|im_start|>assistant\n' }}
86
+ {%- if enable_thinking is defined and enable_thinking is false %}
87
+ {{- '<think>\n\n</think>\n\n' }}
88
+ {%- endif %}
89
+ {%- endif %}
checkpoint-200/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:131f0e175c7dfae51a3ad89e3fce0c33f5b5170a628853138425b02f792db129
3
+ size 81070011
checkpoint-200/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ce4409056f3a511f32784aeadde6b8987edca6fb1c25c5c6e0043a33427d55a1
3
+ size 14645
checkpoint-200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aba799122a6b94c5c2d2f3c14916977285cb883d241557db8ade940f37d24ead
3
+ size 1465
checkpoint-200/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoint-200/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
3
+ size 11422654
checkpoint-200/tokenizer_config.json ADDED
@@ -0,0 +1,239 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
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
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "clean_up_tokenization_spaces": false,
231
+ "eos_token": "<|im_end|>",
232
+ "errors": "replace",
233
+ "extra_special_tokens": {},
234
+ "model_max_length": 131072,
235
+ "pad_token": "<|endoftext|>",
236
+ "split_special_tokens": false,
237
+ "tokenizer_class": "Qwen2Tokenizer",
238
+ "unk_token": null
239
+ }
checkpoint-200/trainer_state.json ADDED
@@ -0,0 +1,254 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 200,
3
+ "best_metric": 0.054177138954401016,
4
+ "best_model_checkpoint": "/home/ricoiban/GEMMA/mnlp_chatsplaining/safety_model_output/checkpoint-200",
5
+ "epoch": 4.082901554404145,
6
+ "eval_steps": 50,
7
+ "global_step": 200,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.20725388601036268,
14
+ "grad_norm": 2.7763237953186035,
15
+ "learning_rate": 0.0005899999999999999,
16
+ "loss": 8.1874,
17
+ "mean_token_accuracy": 0.390625,
18
+ "num_tokens": 21984.0,
19
+ "step": 10
20
+ },
21
+ {
22
+ "epoch": 0.41450777202072536,
23
+ "grad_norm": 1.8894965648651123,
24
+ "learning_rate": 0.000565,
25
+ "loss": 0.7121,
26
+ "mean_token_accuracy": 0.64375,
27
+ "num_tokens": 44111.0,
28
+ "step": 20
29
+ },
30
+ {
31
+ "epoch": 0.6217616580310881,
32
+ "grad_norm": 2.1179754734039307,
33
+ "learning_rate": 0.00054,
34
+ "loss": 0.6903,
35
+ "mean_token_accuracy": 0.659375,
36
+ "num_tokens": 68120.0,
37
+ "step": 30
38
+ },
39
+ {
40
+ "epoch": 0.8290155440414507,
41
+ "grad_norm": 2.2939863204956055,
42
+ "learning_rate": 0.0005149999999999999,
43
+ "loss": 0.677,
44
+ "mean_token_accuracy": 0.653125,
45
+ "num_tokens": 89669.0,
46
+ "step": 40
47
+ },
48
+ {
49
+ "epoch": 1.0207253886010363,
50
+ "grad_norm": 2.18673038482666,
51
+ "learning_rate": 0.00049,
52
+ "loss": 0.6974,
53
+ "mean_token_accuracy": 0.6655405405405406,
54
+ "num_tokens": 111297.0,
55
+ "step": 50
56
+ },
57
+ {
58
+ "epoch": 1.0207253886010363,
59
+ "eval_loss": 0.7593430876731873,
60
+ "eval_mean_token_accuracy": 0.5,
61
+ "eval_num_tokens": 111297.0,
62
+ "eval_runtime": 0.1338,
63
+ "eval_samples_per_second": 7.475,
64
+ "eval_steps_per_second": 7.475,
65
+ "step": 50
66
+ },
67
+ {
68
+ "epoch": 1.2279792746113989,
69
+ "grad_norm": 3.68613338470459,
70
+ "learning_rate": 0.00046499999999999997,
71
+ "loss": 0.6289,
72
+ "mean_token_accuracy": 0.703125,
73
+ "num_tokens": 133338.0,
74
+ "step": 60
75
+ },
76
+ {
77
+ "epoch": 1.4352331606217616,
78
+ "grad_norm": 5.129226207733154,
79
+ "learning_rate": 0.0004399999999999999,
80
+ "loss": 0.5701,
81
+ "mean_token_accuracy": 0.75625,
82
+ "num_tokens": 156589.0,
83
+ "step": 70
84
+ },
85
+ {
86
+ "epoch": 1.6424870466321244,
87
+ "grad_norm": 3.548778772354126,
88
+ "learning_rate": 0.00041499999999999995,
89
+ "loss": 0.5314,
90
+ "mean_token_accuracy": 0.765625,
91
+ "num_tokens": 178995.0,
92
+ "step": 80
93
+ },
94
+ {
95
+ "epoch": 1.849740932642487,
96
+ "grad_norm": 4.861147403717041,
97
+ "learning_rate": 0.00039,
98
+ "loss": 0.5636,
99
+ "mean_token_accuracy": 0.771875,
100
+ "num_tokens": 203491.0,
101
+ "step": 90
102
+ },
103
+ {
104
+ "epoch": 2.0414507772020727,
105
+ "grad_norm": 3.220465660095215,
106
+ "learning_rate": 0.00036499999999999993,
107
+ "loss": 0.4901,
108
+ "mean_token_accuracy": 0.7905405405405406,
109
+ "num_tokens": 223362.0,
110
+ "step": 100
111
+ },
112
+ {
113
+ "epoch": 2.0414507772020727,
114
+ "eval_loss": 0.6653734445571899,
115
+ "eval_mean_token_accuracy": 0.5,
116
+ "eval_num_tokens": 223362.0,
117
+ "eval_runtime": 0.161,
118
+ "eval_samples_per_second": 6.212,
119
+ "eval_steps_per_second": 6.212,
120
+ "step": 100
121
+ },
122
+ {
123
+ "epoch": 2.2487046632124352,
124
+ "grad_norm": 3.534886360168457,
125
+ "learning_rate": 0.00033999999999999997,
126
+ "loss": 0.323,
127
+ "mean_token_accuracy": 0.86875,
128
+ "num_tokens": 245475.0,
129
+ "step": 110
130
+ },
131
+ {
132
+ "epoch": 2.4559585492227978,
133
+ "grad_norm": 2.073479413986206,
134
+ "learning_rate": 0.00031499999999999996,
135
+ "loss": 0.3263,
136
+ "mean_token_accuracy": 0.875,
137
+ "num_tokens": 268345.0,
138
+ "step": 120
139
+ },
140
+ {
141
+ "epoch": 2.6632124352331608,
142
+ "grad_norm": 5.83317756652832,
143
+ "learning_rate": 0.00029,
144
+ "loss": 0.3978,
145
+ "mean_token_accuracy": 0.84375,
146
+ "num_tokens": 292072.0,
147
+ "step": 130
148
+ },
149
+ {
150
+ "epoch": 2.8704663212435233,
151
+ "grad_norm": 3.23555064201355,
152
+ "learning_rate": 0.000265,
153
+ "loss": 0.2859,
154
+ "mean_token_accuracy": 0.871875,
155
+ "num_tokens": 314093.0,
156
+ "step": 140
157
+ },
158
+ {
159
+ "epoch": 3.062176165803109,
160
+ "grad_norm": 1.8520785570144653,
161
+ "learning_rate": 0.00023999999999999998,
162
+ "loss": 0.4766,
163
+ "mean_token_accuracy": 0.8885135135135135,
164
+ "num_tokens": 334669.0,
165
+ "step": 150
166
+ },
167
+ {
168
+ "epoch": 3.062176165803109,
169
+ "eval_loss": 1.3390449285507202,
170
+ "eval_mean_token_accuracy": 0.5,
171
+ "eval_num_tokens": 334669.0,
172
+ "eval_runtime": 0.2104,
173
+ "eval_samples_per_second": 4.753,
174
+ "eval_steps_per_second": 4.753,
175
+ "step": 150
176
+ },
177
+ {
178
+ "epoch": 3.2694300518134716,
179
+ "grad_norm": 13.872314453125,
180
+ "learning_rate": 0.000215,
181
+ "loss": 0.1519,
182
+ "mean_token_accuracy": 0.928125,
183
+ "num_tokens": 358016.0,
184
+ "step": 160
185
+ },
186
+ {
187
+ "epoch": 3.476683937823834,
188
+ "grad_norm": 4.716925144195557,
189
+ "learning_rate": 0.00018999999999999998,
190
+ "loss": 0.1854,
191
+ "mean_token_accuracy": 0.934375,
192
+ "num_tokens": 380340.0,
193
+ "step": 170
194
+ },
195
+ {
196
+ "epoch": 3.6839378238341967,
197
+ "grad_norm": 6.100285530090332,
198
+ "learning_rate": 0.000165,
199
+ "loss": 0.1897,
200
+ "mean_token_accuracy": 0.925,
201
+ "num_tokens": 402140.0,
202
+ "step": 180
203
+ },
204
+ {
205
+ "epoch": 3.8911917098445596,
206
+ "grad_norm": 5.842983245849609,
207
+ "learning_rate": 0.00014,
208
+ "loss": 0.1615,
209
+ "mean_token_accuracy": 0.94375,
210
+ "num_tokens": 426084.0,
211
+ "step": 190
212
+ },
213
+ {
214
+ "epoch": 4.082901554404145,
215
+ "grad_norm": 3.3988146781921387,
216
+ "learning_rate": 0.000115,
217
+ "loss": 0.0874,
218
+ "mean_token_accuracy": 0.9628378378378378,
219
+ "num_tokens": 446213.0,
220
+ "step": 200
221
+ },
222
+ {
223
+ "epoch": 4.082901554404145,
224
+ "eval_loss": 0.054177138954401016,
225
+ "eval_mean_token_accuracy": 1.0,
226
+ "eval_num_tokens": 446213.0,
227
+ "eval_runtime": 0.1261,
228
+ "eval_samples_per_second": 7.932,
229
+ "eval_steps_per_second": 7.932,
230
+ "step": 200
231
+ }
232
+ ],
233
+ "logging_steps": 10,
234
+ "max_steps": 245,
235
+ "num_input_tokens_seen": 0,
236
+ "num_train_epochs": 5,
237
+ "save_steps": 50,
238
+ "stateful_callbacks": {
239
+ "TrainerControl": {
240
+ "args": {
241
+ "should_epoch_stop": false,
242
+ "should_evaluate": false,
243
+ "should_log": false,
244
+ "should_save": true,
245
+ "should_training_stop": false
246
+ },
247
+ "attributes": {}
248
+ }
249
+ },
250
+ "total_flos": 1697812807680000.0,
251
+ "train_batch_size": 4,
252
+ "trial_name": null,
253
+ "trial_params": null
254
+ }
checkpoint-200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7566347047128724837030b344620160dadce5a7abdbc2cca891de51714f0c49
3
+ size 6673
checkpoint-200/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-245/adapter_config.json CHANGED
@@ -24,13 +24,13 @@
24
  "rank_pattern": {},
25
  "revision": null,
26
  "target_modules": [
 
27
  "v_proj",
28
- "down_proj",
29
  "q_proj",
30
- "k_proj",
31
- "up_proj",
32
  "gate_proj",
33
- "o_proj"
34
  ],
35
  "task_type": "CAUSAL_LM",
36
  "trainable_token_indices": null,
 
24
  "rank_pattern": {},
25
  "revision": null,
26
  "target_modules": [
27
+ "up_proj",
28
  "v_proj",
 
29
  "q_proj",
30
+ "down_proj",
31
+ "o_proj",
32
  "gate_proj",
33
+ "k_proj"
34
  ],
35
  "task_type": "CAUSAL_LM",
36
  "trainable_token_indices": null,
checkpoint-245/adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0b79a5b9cffdde7ceedcb715b5540cc100666cd87fa311c359e36a4853ca21ac
3
  size 40422168
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6e869615ff2340983558be9b97c0732e48da8ae95512d1d9e7f323467267f50d
3
  size 40422168
checkpoint-245/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a63ff7a522e6ca2720a7d43b6ddb8fdd1045590c31cff3dcfa95dba8a60568e7
3
  size 81070011
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bb82bf4cbe011e81dd0570be3e7fba7e1f52e2ec8fd8e59f6cbacac84d1183ea
3
  size 81070011
checkpoint-245/trainer_state.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
- "best_global_step": 50,
3
- "best_metric": 0.8024441003799438,
4
- "best_model_checkpoint": "/home/ricoiban/GEMMA/mnlp_chatsplaining/safety_model_output/checkpoint-50",
5
  "epoch": 5.0,
6
  "eval_steps": 50,
7
  "global_step": 245,
@@ -11,257 +11,257 @@
11
  "log_history": [
12
  {
13
  "epoch": 0.20725388601036268,
14
- "grad_norm": 4.4248785972595215,
15
  "learning_rate": 0.0005899999999999999,
16
- "loss": 8.2557,
17
- "mean_token_accuracy": 0.384375,
18
  "num_tokens": 21984.0,
19
  "step": 10
20
  },
21
  {
22
  "epoch": 0.41450777202072536,
23
- "grad_norm": 1.9055719375610352,
24
  "learning_rate": 0.000565,
25
- "loss": 0.7267,
26
- "mean_token_accuracy": 0.634375,
27
  "num_tokens": 44111.0,
28
  "step": 20
29
  },
30
  {
31
  "epoch": 0.6217616580310881,
32
- "grad_norm": 2.149226427078247,
33
  "learning_rate": 0.00054,
34
- "loss": 0.6712,
35
- "mean_token_accuracy": 0.671875,
36
  "num_tokens": 68120.0,
37
  "step": 30
38
  },
39
  {
40
  "epoch": 0.8290155440414507,
41
- "grad_norm": 1.9442976713180542,
42
  "learning_rate": 0.0005149999999999999,
43
- "loss": 0.7079,
44
- "mean_token_accuracy": 0.678125,
45
  "num_tokens": 89669.0,
46
  "step": 40
47
  },
48
  {
49
  "epoch": 1.0207253886010363,
50
- "grad_norm": 67.3375473022461,
51
  "learning_rate": 0.00049,
52
- "loss": 0.7584,
53
- "mean_token_accuracy": 0.6182432432432432,
54
  "num_tokens": 111297.0,
55
  "step": 50
56
  },
57
  {
58
  "epoch": 1.0207253886010363,
59
- "eval_loss": 0.8024441003799438,
60
  "eval_mean_token_accuracy": 0.5,
61
  "eval_num_tokens": 111297.0,
62
- "eval_runtime": 0.1286,
63
- "eval_samples_per_second": 7.775,
64
- "eval_steps_per_second": 7.775,
65
  "step": 50
66
  },
67
  {
68
  "epoch": 1.2279792746113989,
69
- "grad_norm": 6.444717884063721,
70
  "learning_rate": 0.00046499999999999997,
71
- "loss": 0.6147,
72
  "mean_token_accuracy": 0.703125,
73
  "num_tokens": 133338.0,
74
  "step": 60
75
  },
76
  {
77
  "epoch": 1.4352331606217616,
78
- "grad_norm": 17.345895767211914,
79
  "learning_rate": 0.0004399999999999999,
80
- "loss": 0.5632,
81
- "mean_token_accuracy": 0.771875,
82
  "num_tokens": 156589.0,
83
  "step": 70
84
  },
85
  {
86
  "epoch": 1.6424870466321244,
87
- "grad_norm": 4.307793617248535,
88
  "learning_rate": 0.00041499999999999995,
89
- "loss": 0.537,
90
- "mean_token_accuracy": 0.7875,
91
  "num_tokens": 178995.0,
92
  "step": 80
93
  },
94
  {
95
  "epoch": 1.849740932642487,
96
- "grad_norm": 3.7696592807769775,
97
  "learning_rate": 0.00039,
98
- "loss": 0.5935,
99
- "mean_token_accuracy": 0.746875,
100
  "num_tokens": 203491.0,
101
  "step": 90
102
  },
103
  {
104
  "epoch": 2.0414507772020727,
105
- "grad_norm": 3.7574870586395264,
106
  "learning_rate": 0.00036499999999999993,
107
- "loss": 0.494,
108
  "mean_token_accuracy": 0.7905405405405406,
109
  "num_tokens": 223362.0,
110
  "step": 100
111
  },
112
  {
113
  "epoch": 2.0414507772020727,
114
- "eval_loss": 1.1921323537826538,
115
  "eval_mean_token_accuracy": 0.5,
116
  "eval_num_tokens": 223362.0,
117
- "eval_runtime": 0.1254,
118
- "eval_samples_per_second": 7.977,
119
- "eval_steps_per_second": 7.977,
120
  "step": 100
121
  },
122
  {
123
  "epoch": 2.2487046632124352,
124
- "grad_norm": 5.195500373840332,
125
  "learning_rate": 0.00033999999999999997,
126
- "loss": 0.3184,
127
- "mean_token_accuracy": 0.88125,
128
  "num_tokens": 245475.0,
129
  "step": 110
130
  },
131
  {
132
  "epoch": 2.4559585492227978,
133
- "grad_norm": 2.6721720695495605,
134
  "learning_rate": 0.00031499999999999996,
135
- "loss": 0.3147,
136
- "mean_token_accuracy": 0.86875,
137
  "num_tokens": 268345.0,
138
  "step": 120
139
  },
140
  {
141
  "epoch": 2.6632124352331608,
142
- "grad_norm": 5.788036823272705,
143
  "learning_rate": 0.00029,
144
- "loss": 0.414,
145
- "mean_token_accuracy": 0.81875,
146
  "num_tokens": 292072.0,
147
  "step": 130
148
  },
149
  {
150
  "epoch": 2.8704663212435233,
151
- "grad_norm": 2.9962568283081055,
152
  "learning_rate": 0.000265,
153
- "loss": 0.3293,
154
- "mean_token_accuracy": 0.8625,
155
  "num_tokens": 314093.0,
156
  "step": 140
157
  },
158
  {
159
  "epoch": 3.062176165803109,
160
- "grad_norm": 2.9766643047332764,
161
  "learning_rate": 0.00023999999999999998,
162
- "loss": 0.1989,
163
- "mean_token_accuracy": 0.9087837837837838,
164
  "num_tokens": 334669.0,
165
  "step": 150
166
  },
167
  {
168
  "epoch": 3.062176165803109,
169
- "eval_loss": 3.510432481765747,
170
  "eval_mean_token_accuracy": 0.5,
171
  "eval_num_tokens": 334669.0,
172
- "eval_runtime": 0.1277,
173
- "eval_samples_per_second": 7.833,
174
- "eval_steps_per_second": 7.833,
175
  "step": 150
176
  },
177
  {
178
  "epoch": 3.2694300518134716,
179
- "grad_norm": 10.293326377868652,
180
  "learning_rate": 0.000215,
181
- "loss": 0.1508,
182
- "mean_token_accuracy": 0.9375,
183
  "num_tokens": 358016.0,
184
  "step": 160
185
  },
186
  {
187
  "epoch": 3.476683937823834,
188
- "grad_norm": 7.3945698738098145,
189
  "learning_rate": 0.00018999999999999998,
190
- "loss": 0.1329,
191
- "mean_token_accuracy": 0.953125,
192
  "num_tokens": 380340.0,
193
  "step": 170
194
  },
195
  {
196
  "epoch": 3.6839378238341967,
197
- "grad_norm": 1.260176181793213,
198
  "learning_rate": 0.000165,
199
- "loss": 0.1821,
200
- "mean_token_accuracy": 0.934375,
201
  "num_tokens": 402140.0,
202
  "step": 180
203
  },
204
  {
205
  "epoch": 3.8911917098445596,
206
- "grad_norm": 3.2304484844207764,
207
  "learning_rate": 0.00014,
208
- "loss": 0.139,
209
- "mean_token_accuracy": 0.946875,
210
  "num_tokens": 426084.0,
211
  "step": 190
212
  },
213
  {
214
  "epoch": 4.082901554404145,
215
- "grad_norm": 0.6160839796066284,
216
  "learning_rate": 0.000115,
217
- "loss": 0.0729,
218
- "mean_token_accuracy": 0.9695945945945946,
219
  "num_tokens": 446213.0,
220
  "step": 200
221
  },
222
  {
223
  "epoch": 4.082901554404145,
224
- "eval_loss": 4.188155174255371,
225
- "eval_mean_token_accuracy": 0.5,
226
  "eval_num_tokens": 446213.0,
227
- "eval_runtime": 0.1101,
228
- "eval_samples_per_second": 9.082,
229
- "eval_steps_per_second": 9.082,
230
  "step": 200
231
  },
232
  {
233
  "epoch": 4.290155440414508,
234
- "grad_norm": 0.4012514650821686,
235
  "learning_rate": 8.999999999999999e-05,
236
- "loss": 0.0634,
237
- "mean_token_accuracy": 0.975,
238
  "num_tokens": 469234.0,
239
  "step": 210
240
  },
241
  {
242
  "epoch": 4.4974093264248705,
243
- "grad_norm": 0.04510807245969772,
244
  "learning_rate": 6.5e-05,
245
- "loss": 0.027,
246
- "mean_token_accuracy": 0.9875,
247
  "num_tokens": 492700.0,
248
  "step": 220
249
  },
250
  {
251
  "epoch": 4.704663212435233,
252
- "grad_norm": 1.0606855154037476,
253
  "learning_rate": 3.9999999999999996e-05,
254
- "loss": 0.0887,
255
- "mean_token_accuracy": 0.965625,
256
  "num_tokens": 514671.0,
257
  "step": 230
258
  },
259
  {
260
  "epoch": 4.9119170984455955,
261
- "grad_norm": 1.3937901258468628,
262
  "learning_rate": 1.4999999999999999e-05,
263
- "loss": 0.0852,
264
- "mean_token_accuracy": 0.978125,
265
  "num_tokens": 537299.0,
266
  "step": 240
267
  }
 
1
  {
2
+ "best_global_step": 200,
3
+ "best_metric": 0.054177138954401016,
4
+ "best_model_checkpoint": "/home/ricoiban/GEMMA/mnlp_chatsplaining/safety_model_output/checkpoint-200",
5
  "epoch": 5.0,
6
  "eval_steps": 50,
7
  "global_step": 245,
 
11
  "log_history": [
12
  {
13
  "epoch": 0.20725388601036268,
14
+ "grad_norm": 2.7763237953186035,
15
  "learning_rate": 0.0005899999999999999,
16
+ "loss": 8.1874,
17
+ "mean_token_accuracy": 0.390625,
18
  "num_tokens": 21984.0,
19
  "step": 10
20
  },
21
  {
22
  "epoch": 0.41450777202072536,
23
+ "grad_norm": 1.8894965648651123,
24
  "learning_rate": 0.000565,
25
+ "loss": 0.7121,
26
+ "mean_token_accuracy": 0.64375,
27
  "num_tokens": 44111.0,
28
  "step": 20
29
  },
30
  {
31
  "epoch": 0.6217616580310881,
32
+ "grad_norm": 2.1179754734039307,
33
  "learning_rate": 0.00054,
34
+ "loss": 0.6903,
35
+ "mean_token_accuracy": 0.659375,
36
  "num_tokens": 68120.0,
37
  "step": 30
38
  },
39
  {
40
  "epoch": 0.8290155440414507,
41
+ "grad_norm": 2.2939863204956055,
42
  "learning_rate": 0.0005149999999999999,
43
+ "loss": 0.677,
44
+ "mean_token_accuracy": 0.653125,
45
  "num_tokens": 89669.0,
46
  "step": 40
47
  },
48
  {
49
  "epoch": 1.0207253886010363,
50
+ "grad_norm": 2.18673038482666,
51
  "learning_rate": 0.00049,
52
+ "loss": 0.6974,
53
+ "mean_token_accuracy": 0.6655405405405406,
54
  "num_tokens": 111297.0,
55
  "step": 50
56
  },
57
  {
58
  "epoch": 1.0207253886010363,
59
+ "eval_loss": 0.7593430876731873,
60
  "eval_mean_token_accuracy": 0.5,
61
  "eval_num_tokens": 111297.0,
62
+ "eval_runtime": 0.1338,
63
+ "eval_samples_per_second": 7.475,
64
+ "eval_steps_per_second": 7.475,
65
  "step": 50
66
  },
67
  {
68
  "epoch": 1.2279792746113989,
69
+ "grad_norm": 3.68613338470459,
70
  "learning_rate": 0.00046499999999999997,
71
+ "loss": 0.6289,
72
  "mean_token_accuracy": 0.703125,
73
  "num_tokens": 133338.0,
74
  "step": 60
75
  },
76
  {
77
  "epoch": 1.4352331606217616,
78
+ "grad_norm": 5.129226207733154,
79
  "learning_rate": 0.0004399999999999999,
80
+ "loss": 0.5701,
81
+ "mean_token_accuracy": 0.75625,
82
  "num_tokens": 156589.0,
83
  "step": 70
84
  },
85
  {
86
  "epoch": 1.6424870466321244,
87
+ "grad_norm": 3.548778772354126,
88
  "learning_rate": 0.00041499999999999995,
89
+ "loss": 0.5314,
90
+ "mean_token_accuracy": 0.765625,
91
  "num_tokens": 178995.0,
92
  "step": 80
93
  },
94
  {
95
  "epoch": 1.849740932642487,
96
+ "grad_norm": 4.861147403717041,
97
  "learning_rate": 0.00039,
98
+ "loss": 0.5636,
99
+ "mean_token_accuracy": 0.771875,
100
  "num_tokens": 203491.0,
101
  "step": 90
102
  },
103
  {
104
  "epoch": 2.0414507772020727,
105
+ "grad_norm": 3.220465660095215,
106
  "learning_rate": 0.00036499999999999993,
107
+ "loss": 0.4901,
108
  "mean_token_accuracy": 0.7905405405405406,
109
  "num_tokens": 223362.0,
110
  "step": 100
111
  },
112
  {
113
  "epoch": 2.0414507772020727,
114
+ "eval_loss": 0.6653734445571899,
115
  "eval_mean_token_accuracy": 0.5,
116
  "eval_num_tokens": 223362.0,
117
+ "eval_runtime": 0.161,
118
+ "eval_samples_per_second": 6.212,
119
+ "eval_steps_per_second": 6.212,
120
  "step": 100
121
  },
122
  {
123
  "epoch": 2.2487046632124352,
124
+ "grad_norm": 3.534886360168457,
125
  "learning_rate": 0.00033999999999999997,
126
+ "loss": 0.323,
127
+ "mean_token_accuracy": 0.86875,
128
  "num_tokens": 245475.0,
129
  "step": 110
130
  },
131
  {
132
  "epoch": 2.4559585492227978,
133
+ "grad_norm": 2.073479413986206,
134
  "learning_rate": 0.00031499999999999996,
135
+ "loss": 0.3263,
136
+ "mean_token_accuracy": 0.875,
137
  "num_tokens": 268345.0,
138
  "step": 120
139
  },
140
  {
141
  "epoch": 2.6632124352331608,
142
+ "grad_norm": 5.83317756652832,
143
  "learning_rate": 0.00029,
144
+ "loss": 0.3978,
145
+ "mean_token_accuracy": 0.84375,
146
  "num_tokens": 292072.0,
147
  "step": 130
148
  },
149
  {
150
  "epoch": 2.8704663212435233,
151
+ "grad_norm": 3.23555064201355,
152
  "learning_rate": 0.000265,
153
+ "loss": 0.2859,
154
+ "mean_token_accuracy": 0.871875,
155
  "num_tokens": 314093.0,
156
  "step": 140
157
  },
158
  {
159
  "epoch": 3.062176165803109,
160
+ "grad_norm": 1.8520785570144653,
161
  "learning_rate": 0.00023999999999999998,
162
+ "loss": 0.4766,
163
+ "mean_token_accuracy": 0.8885135135135135,
164
  "num_tokens": 334669.0,
165
  "step": 150
166
  },
167
  {
168
  "epoch": 3.062176165803109,
169
+ "eval_loss": 1.3390449285507202,
170
  "eval_mean_token_accuracy": 0.5,
171
  "eval_num_tokens": 334669.0,
172
+ "eval_runtime": 0.2104,
173
+ "eval_samples_per_second": 4.753,
174
+ "eval_steps_per_second": 4.753,
175
  "step": 150
176
  },
177
  {
178
  "epoch": 3.2694300518134716,
179
+ "grad_norm": 13.872314453125,
180
  "learning_rate": 0.000215,
181
+ "loss": 0.1519,
182
+ "mean_token_accuracy": 0.928125,
183
  "num_tokens": 358016.0,
184
  "step": 160
185
  },
186
  {
187
  "epoch": 3.476683937823834,
188
+ "grad_norm": 4.716925144195557,
189
  "learning_rate": 0.00018999999999999998,
190
+ "loss": 0.1854,
191
+ "mean_token_accuracy": 0.934375,
192
  "num_tokens": 380340.0,
193
  "step": 170
194
  },
195
  {
196
  "epoch": 3.6839378238341967,
197
+ "grad_norm": 6.100285530090332,
198
  "learning_rate": 0.000165,
199
+ "loss": 0.1897,
200
+ "mean_token_accuracy": 0.925,
201
  "num_tokens": 402140.0,
202
  "step": 180
203
  },
204
  {
205
  "epoch": 3.8911917098445596,
206
+ "grad_norm": 5.842983245849609,
207
  "learning_rate": 0.00014,
208
+ "loss": 0.1615,
209
+ "mean_token_accuracy": 0.94375,
210
  "num_tokens": 426084.0,
211
  "step": 190
212
  },
213
  {
214
  "epoch": 4.082901554404145,
215
+ "grad_norm": 3.3988146781921387,
216
  "learning_rate": 0.000115,
217
+ "loss": 0.0874,
218
+ "mean_token_accuracy": 0.9628378378378378,
219
  "num_tokens": 446213.0,
220
  "step": 200
221
  },
222
  {
223
  "epoch": 4.082901554404145,
224
+ "eval_loss": 0.054177138954401016,
225
+ "eval_mean_token_accuracy": 1.0,
226
  "eval_num_tokens": 446213.0,
227
+ "eval_runtime": 0.1261,
228
+ "eval_samples_per_second": 7.932,
229
+ "eval_steps_per_second": 7.932,
230
  "step": 200
231
  },
232
  {
233
  "epoch": 4.290155440414508,
234
+ "grad_norm": 4.433862686157227,
235
  "learning_rate": 8.999999999999999e-05,
236
+ "loss": 0.0692,
237
+ "mean_token_accuracy": 0.978125,
238
  "num_tokens": 469234.0,
239
  "step": 210
240
  },
241
  {
242
  "epoch": 4.4974093264248705,
243
+ "grad_norm": 18.63327980041504,
244
  "learning_rate": 6.5e-05,
245
+ "loss": 0.0986,
246
+ "mean_token_accuracy": 0.9625,
247
  "num_tokens": 492700.0,
248
  "step": 220
249
  },
250
  {
251
  "epoch": 4.704663212435233,
252
+ "grad_norm": 2.435386896133423,
253
  "learning_rate": 3.9999999999999996e-05,
254
+ "loss": 0.0937,
255
+ "mean_token_accuracy": 0.9625,
256
  "num_tokens": 514671.0,
257
  "step": 230
258
  },
259
  {
260
  "epoch": 4.9119170984455955,
261
+ "grad_norm": 14.27245807647705,
262
  "learning_rate": 1.4999999999999999e-05,
263
+ "loss": 0.0743,
264
+ "mean_token_accuracy": 0.971875,
265
  "num_tokens": 537299.0,
266
  "step": 240
267
  }
checkpoint-245/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:dc0c67709a00f240ad0d45340b4e4703d76c9b176db80e252a07293fdbffaf64
3
  size 6673
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7566347047128724837030b344620160dadce5a7abdbc2cca891de51714f0c49
3
  size 6673
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:dc0c67709a00f240ad0d45340b4e4703d76c9b176db80e252a07293fdbffaf64
3
  size 6673
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7566347047128724837030b344620160dadce5a7abdbc2cca891de51714f0c49
3
  size 6673