SakalYin commited on
Commit
813d521
·
verified ·
1 Parent(s): 5798fde

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/Qwen2-VL-7B-Instruct-unsloth-bnb-4bit
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 0.14.0
adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "unsloth/Qwen2-VL-7B-Instruct-unsloth-bnb-4bit",
5
+ "bias": "none",
6
+ "eva_config": null,
7
+ "exclude_modules": null,
8
+ "fan_in_fan_out": false,
9
+ "inference_mode": true,
10
+ "init_lora_weights": true,
11
+ "layer_replication": null,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 16,
16
+ "lora_bias": false,
17
+ "lora_dropout": 0.05,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": null,
21
+ "peft_type": "LORA",
22
+ "r": 16,
23
+ "rank_pattern": {},
24
+ "revision": null,
25
+ "target_modules": "(?:.*?(?:vision|image|visual|patch|language|text).*?(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense).*?(?:qkv|proj|fc1|fc2|q_proj|k_proj|v_proj|o_proj|gate_proj|up_proj|down_proj).*?)|(?:\\bmodel\\.layers\\.[\\d]{1,}\\.(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense)\\.(?:(?:qkv|proj|fc1|fc2|q_proj|k_proj|v_proj|o_proj|gate_proj|up_proj|down_proj)))",
26
+ "task_type": "CAUSAL_LM",
27
+ "use_dora": false,
28
+ "use_rslora": false
29
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8952c53716b3e6c378709b8cd12b9ac961d097b87e9d8f6ed274c784ca374ee2
3
+ size 203509368
added_tokens.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "<|box_end|>": 151649,
3
+ "<|box_start|>": 151648,
4
+ "<|endoftext|>": 151643,
5
+ "<|im_end|>": 151645,
6
+ "<|im_start|>": 151644,
7
+ "<|image_pad|>": 151655,
8
+ "<|object_ref_end|>": 151647,
9
+ "<|object_ref_start|>": 151646,
10
+ "<|quad_end|>": 151651,
11
+ "<|quad_start|>": 151650,
12
+ "<|video_pad|>": 151656,
13
+ "<|vision_end|>": 151653,
14
+ "<|vision_pad|>": 151654,
15
+ "<|vision_start|>": 151652
16
+ }
chat_template.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
3
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9205a3f3b4e2e0bd2cff15357fa2a57160174581e64618310366349cffd07556
3
+ size 82462068
preprocessor_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_convert_rgb": true,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.48145466,
8
+ 0.4578275,
9
+ 0.40821073
10
+ ],
11
+ "image_processor_type": "Qwen2VLImageProcessor",
12
+ "image_std": [
13
+ 0.26862954,
14
+ 0.26130258,
15
+ 0.27577711
16
+ ],
17
+ "max_pixels": 12845056,
18
+ "merge_size": 2,
19
+ "min_pixels": 3136,
20
+ "patch_size": 14,
21
+ "processor_class": "Qwen2VLProcessor",
22
+ "resample": 3,
23
+ "rescale_factor": 0.00392156862745098,
24
+ "size": {
25
+ "longest_edge": 12845056,
26
+ "shortest_edge": 3136
27
+ },
28
+ "temporal_patch_size": 2
29
+ }
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f6fc5b16117008f259f41afb48f45f96dd31241d1a5f0c1619d6140c5ce7e89
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:adaf1dfa61617159634e23ba894e13b4fc5a82405d7336c1449a41ac0ce672b8
3
+ size 1064
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": "<|vision_pad|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:948c45c29a91dd2e6ae77d6f5a324a3d408bcca6ad443365b2e79986f1422771
3
+ size 11420540
tokenizer_config.json ADDED
@@ -0,0 +1,148 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "151643": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "151644": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "151645": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "151646": {
29
+ "content": "<|object_ref_start|>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "151647": {
37
+ "content": "<|object_ref_end|>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "151648": {
45
+ "content": "<|box_start|>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "151649": {
53
+ "content": "<|box_end|>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "151650": {
61
+ "content": "<|quad_start|>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "151651": {
69
+ "content": "<|quad_end|>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "151652": {
77
+ "content": "<|vision_start|>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "151653": {
85
+ "content": "<|vision_end|>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "151654": {
93
+ "content": "<|vision_pad|>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "151655": {
101
+ "content": "<|image_pad|>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "151656": {
109
+ "content": "<|video_pad|>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ }
116
+ },
117
+ "additional_special_tokens": [
118
+ "<|im_start|>",
119
+ "<|im_end|>",
120
+ "<|object_ref_start|>",
121
+ "<|object_ref_end|>",
122
+ "<|box_start|>",
123
+ "<|box_end|>",
124
+ "<|quad_start|>",
125
+ "<|quad_end|>",
126
+ "<|vision_start|>",
127
+ "<|vision_end|>",
128
+ "<|vision_pad|>",
129
+ "<|image_pad|>",
130
+ "<|video_pad|>"
131
+ ],
132
+ "bos_token": null,
133
+ "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
134
+ "clean_up_tokenization_spaces": false,
135
+ "eos_token": "<|im_end|>",
136
+ "errors": "replace",
137
+ "extra_special_tokens": {},
138
+ "max_length": null,
139
+ "model_max_length": 32768,
140
+ "pad_to_multiple_of": null,
141
+ "pad_token": "<|vision_pad|>",
142
+ "pad_token_type_id": 0,
143
+ "padding_side": "right",
144
+ "processor_class": "Qwen2VLProcessor",
145
+ "split_special_tokens": false,
146
+ "tokenizer_class": "Qwen2Tokenizer",
147
+ "unk_token": null
148
+ }
trainer_state.json ADDED
@@ -0,0 +1,291 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.6812375816065853,
5
+ "eval_steps": 50,
6
+ "global_step": 300,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.022707919386886176,
13
+ "grad_norm": 0.5527037382125854,
14
+ "learning_rate": 0.00019770114942528738,
15
+ "loss": 0.0749,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.04541583877377235,
20
+ "grad_norm": 0.18355610966682434,
21
+ "learning_rate": 0.0001931034482758621,
22
+ "loss": 0.0973,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.06812375816065853,
27
+ "grad_norm": 0.15812426805496216,
28
+ "learning_rate": 0.00018850574712643678,
29
+ "loss": 0.089,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.0908316775475447,
34
+ "grad_norm": 0.19676333665847778,
35
+ "learning_rate": 0.0001839080459770115,
36
+ "loss": 0.0885,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.11353959693443089,
41
+ "grad_norm": 0.23726195096969604,
42
+ "learning_rate": 0.0001793103448275862,
43
+ "loss": 0.0865,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.11353959693443089,
48
+ "eval_loss": 0.09350696206092834,
49
+ "eval_runtime": 246.8339,
50
+ "eval_samples_per_second": 0.81,
51
+ "eval_steps_per_second": 0.81,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 0.13624751632131707,
56
+ "grad_norm": 0.18502545356750488,
57
+ "learning_rate": 0.00017471264367816095,
58
+ "loss": 0.0823,
59
+ "step": 60
60
+ },
61
+ {
62
+ "epoch": 0.15895543570820322,
63
+ "grad_norm": 0.38577064871788025,
64
+ "learning_rate": 0.00017011494252873563,
65
+ "loss": 0.0813,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 0.1816633550950894,
70
+ "grad_norm": 0.27274832129478455,
71
+ "learning_rate": 0.00016551724137931035,
72
+ "loss": 0.0887,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 0.2043712744819756,
77
+ "grad_norm": 0.18888869881629944,
78
+ "learning_rate": 0.00016091954022988506,
79
+ "loss": 0.088,
80
+ "step": 90
81
+ },
82
+ {
83
+ "epoch": 0.22707919386886177,
84
+ "grad_norm": 0.19606022536754608,
85
+ "learning_rate": 0.0001563218390804598,
86
+ "loss": 0.0896,
87
+ "step": 100
88
+ },
89
+ {
90
+ "epoch": 0.22707919386886177,
91
+ "eval_loss": 0.09240507334470749,
92
+ "eval_runtime": 239.9776,
93
+ "eval_samples_per_second": 0.833,
94
+ "eval_steps_per_second": 0.833,
95
+ "step": 100
96
+ },
97
+ {
98
+ "epoch": 0.24978711325574796,
99
+ "grad_norm": 0.21395204961299896,
100
+ "learning_rate": 0.00015172413793103449,
101
+ "loss": 0.0782,
102
+ "step": 110
103
+ },
104
+ {
105
+ "epoch": 0.27249503264263414,
106
+ "grad_norm": 0.22302134335041046,
107
+ "learning_rate": 0.0001471264367816092,
108
+ "loss": 0.0794,
109
+ "step": 120
110
+ },
111
+ {
112
+ "epoch": 0.2952029520295203,
113
+ "grad_norm": 0.27699050307273865,
114
+ "learning_rate": 0.0001425287356321839,
115
+ "loss": 0.0802,
116
+ "step": 130
117
+ },
118
+ {
119
+ "epoch": 0.31791087141640645,
120
+ "grad_norm": 0.24119599163532257,
121
+ "learning_rate": 0.00013793103448275863,
122
+ "loss": 0.0829,
123
+ "step": 140
124
+ },
125
+ {
126
+ "epoch": 0.34061879080329266,
127
+ "grad_norm": 0.23131313920021057,
128
+ "learning_rate": 0.00013333333333333334,
129
+ "loss": 0.0796,
130
+ "step": 150
131
+ },
132
+ {
133
+ "epoch": 0.34061879080329266,
134
+ "eval_loss": 0.09314567595720291,
135
+ "eval_runtime": 243.4064,
136
+ "eval_samples_per_second": 0.822,
137
+ "eval_steps_per_second": 0.822,
138
+ "step": 150
139
+ },
140
+ {
141
+ "epoch": 0.3633267101901788,
142
+ "grad_norm": 0.311929851770401,
143
+ "learning_rate": 0.00012873563218390805,
144
+ "loss": 0.0783,
145
+ "step": 160
146
+ },
147
+ {
148
+ "epoch": 0.386034629577065,
149
+ "grad_norm": 0.2242027074098587,
150
+ "learning_rate": 0.00012413793103448277,
151
+ "loss": 0.0818,
152
+ "step": 170
153
+ },
154
+ {
155
+ "epoch": 0.4087425489639512,
156
+ "grad_norm": 0.2559347450733185,
157
+ "learning_rate": 0.00011954022988505748,
158
+ "loss": 0.0789,
159
+ "step": 180
160
+ },
161
+ {
162
+ "epoch": 0.43145046835083734,
163
+ "grad_norm": 0.23956073820590973,
164
+ "learning_rate": 0.00011494252873563218,
165
+ "loss": 0.0734,
166
+ "step": 190
167
+ },
168
+ {
169
+ "epoch": 0.45415838773772355,
170
+ "grad_norm": 0.290977418422699,
171
+ "learning_rate": 0.0001103448275862069,
172
+ "loss": 0.0753,
173
+ "step": 200
174
+ },
175
+ {
176
+ "epoch": 0.45415838773772355,
177
+ "eval_loss": 0.09412585943937302,
178
+ "eval_runtime": 243.3084,
179
+ "eval_samples_per_second": 0.822,
180
+ "eval_steps_per_second": 0.822,
181
+ "step": 200
182
+ },
183
+ {
184
+ "epoch": 0.4768663071246097,
185
+ "grad_norm": 0.37943148612976074,
186
+ "learning_rate": 0.00010574712643678162,
187
+ "loss": 0.0742,
188
+ "step": 210
189
+ },
190
+ {
191
+ "epoch": 0.4995742265114959,
192
+ "grad_norm": 0.25092101097106934,
193
+ "learning_rate": 0.00010114942528735633,
194
+ "loss": 0.0745,
195
+ "step": 220
196
+ },
197
+ {
198
+ "epoch": 0.5222821458983821,
199
+ "grad_norm": 0.27841272950172424,
200
+ "learning_rate": 9.655172413793105e-05,
201
+ "loss": 0.0732,
202
+ "step": 230
203
+ },
204
+ {
205
+ "epoch": 0.5449900652852683,
206
+ "grad_norm": 0.24122974276542664,
207
+ "learning_rate": 9.195402298850575e-05,
208
+ "loss": 0.0738,
209
+ "step": 240
210
+ },
211
+ {
212
+ "epoch": 0.5676979846721544,
213
+ "grad_norm": 0.33553385734558105,
214
+ "learning_rate": 8.735632183908047e-05,
215
+ "loss": 0.075,
216
+ "step": 250
217
+ },
218
+ {
219
+ "epoch": 0.5676979846721544,
220
+ "eval_loss": 0.08785887062549591,
221
+ "eval_runtime": 243.3288,
222
+ "eval_samples_per_second": 0.822,
223
+ "eval_steps_per_second": 0.822,
224
+ "step": 250
225
+ },
226
+ {
227
+ "epoch": 0.5904059040590406,
228
+ "grad_norm": 0.228590190410614,
229
+ "learning_rate": 8.275862068965517e-05,
230
+ "loss": 0.0743,
231
+ "step": 260
232
+ },
233
+ {
234
+ "epoch": 0.6131138234459268,
235
+ "grad_norm": 0.24921129643917084,
236
+ "learning_rate": 7.81609195402299e-05,
237
+ "loss": 0.075,
238
+ "step": 270
239
+ },
240
+ {
241
+ "epoch": 0.6358217428328129,
242
+ "grad_norm": 0.27115267515182495,
243
+ "learning_rate": 7.35632183908046e-05,
244
+ "loss": 0.0749,
245
+ "step": 280
246
+ },
247
+ {
248
+ "epoch": 0.6585296622196991,
249
+ "grad_norm": 0.1899242103099823,
250
+ "learning_rate": 6.896551724137931e-05,
251
+ "loss": 0.0705,
252
+ "step": 290
253
+ },
254
+ {
255
+ "epoch": 0.6812375816065853,
256
+ "grad_norm": 0.2068161964416504,
257
+ "learning_rate": 6.436781609195403e-05,
258
+ "loss": 0.0726,
259
+ "step": 300
260
+ },
261
+ {
262
+ "epoch": 0.6812375816065853,
263
+ "eval_loss": 0.08430539816617966,
264
+ "eval_runtime": 243.0981,
265
+ "eval_samples_per_second": 0.823,
266
+ "eval_steps_per_second": 0.823,
267
+ "step": 300
268
+ }
269
+ ],
270
+ "logging_steps": 10,
271
+ "max_steps": 440,
272
+ "num_input_tokens_seen": 0,
273
+ "num_train_epochs": 1,
274
+ "save_steps": 100,
275
+ "stateful_callbacks": {
276
+ "TrainerControl": {
277
+ "args": {
278
+ "should_epoch_stop": false,
279
+ "should_evaluate": false,
280
+ "should_log": false,
281
+ "should_save": true,
282
+ "should_training_stop": false
283
+ },
284
+ "attributes": {}
285
+ }
286
+ },
287
+ "total_flos": 7.261504929129062e+16,
288
+ "train_batch_size": 1,
289
+ "trial_name": null,
290
+ "trial_params": null
291
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8de0a8393eaffb97ac660136dcb9a631ae8d80949f4a6ece14cedff118ccd740
3
+ size 5688
vocab.json ADDED
The diff for this file is too large to render. See raw diff