lordChipotle commited on
Commit
1abf996
·
verified ·
1 Parent(s): 05af785

Training in progress, step 3200, checkpoint

Browse files
.gitattributes CHANGED
@@ -49,3 +49,4 @@ checkpoint-2400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
49
  checkpoint-2600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
50
  checkpoint-2800/tokenizer.json filter=lfs diff=lfs merge=lfs -text
51
  checkpoint-3000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
49
  checkpoint-2600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
50
  checkpoint-2800/tokenizer.json filter=lfs diff=lfs merge=lfs -text
51
  checkpoint-3000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
52
+ checkpoint-3200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
checkpoint-3200/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: lordChipotle/qwen2-vl-audio-7b
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-3200/adapter_config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "lordChipotle/qwen2-vl-audio-7b",
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": 0.05,
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
+ "q_proj",
28
+ "audio_proj",
29
+ "down_proj",
30
+ "v_proj",
31
+ "o_proj",
32
+ "gate_proj",
33
+ "k_proj",
34
+ "up_proj"
35
+ ],
36
+ "task_type": "CAUSAL_LM",
37
+ "trainable_token_indices": null,
38
+ "use_dora": false,
39
+ "use_rslora": false
40
+ }
checkpoint-3200/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ba49876b09b19142a73927e5406520ec8bc5e20e13fbad7eeda37d8a7e2f87aa
3
+ size 161850592
checkpoint-3200/added_tokens.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|audio_end|>": 151666,
5
+ "<|audio_pad|>": 151667,
6
+ "<|audio_start|>": 151665,
7
+ "<|box_end|>": 151649,
8
+ "<|box_start|>": 151648,
9
+ "<|endoftext|>": 151643,
10
+ "<|file_sep|>": 151664,
11
+ "<|fim_middle|>": 151660,
12
+ "<|fim_pad|>": 151662,
13
+ "<|fim_prefix|>": 151659,
14
+ "<|fim_suffix|>": 151661,
15
+ "<|im_end|>": 151645,
16
+ "<|im_start|>": 151644,
17
+ "<|image_pad|>": 151655,
18
+ "<|object_ref_end|>": 151647,
19
+ "<|object_ref_start|>": 151646,
20
+ "<|quad_end|>": 151651,
21
+ "<|quad_start|>": 151650,
22
+ "<|repo_name|>": 151663,
23
+ "<|video_pad|>": 151656,
24
+ "<|vision_end|>": 151653,
25
+ "<|vision_pad|>": 151654,
26
+ "<|vision_start|>": 151652
27
+ }
checkpoint-3200/chat_template.jinja ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {% for m in messages %}
2
+ <|im_start|>{{ m['role'] }}
3
+ {% for piece in m['content'] %}
4
+ {% if piece['type'] == 'text' %}
5
+ {{ piece['text'] }}
6
+ {% elif piece['type'] == 'audio' %}
7
+ <|audio_start|><|audio_pad|><|audio_end|>
8
+ {% elif piece['type'] == 'image' %}
9
+ <image>
10
+ {% elif piece['type'] == 'video' %}
11
+ <video>
12
+ {% endif %}
13
+ {% endfor %}<|im_end|>
14
+ {% endfor %}
checkpoint-3200/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-3200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f97c4f0160ed1a5ebc0e026c961501c3d562211b648e6cd62e3fc646b8166211
3
+ size 323916720
checkpoint-3200/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ac68cc755096b4727af462581ac6849171e57345eabac34c86385c34593f6dab
3
+ size 14244
checkpoint-3200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4cf616e773e31e887a068ca178f28b3f06c250407d2282086555e643e1266283
3
+ size 1064
checkpoint-3200/special_tokens_map.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|audio_start|>",
4
+ "<|audio_end|>",
5
+ "<|audio_pad|>"
6
+ ],
7
+ "eos_token": {
8
+ "content": "<|im_end|>",
9
+ "lstrip": false,
10
+ "normalized": false,
11
+ "rstrip": false,
12
+ "single_word": false
13
+ },
14
+ "pad_token": {
15
+ "content": "<|endoftext|>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ }
21
+ }
checkpoint-3200/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4243a8e9c446f15ca279460b397345b85663abf2dcc3d1e706c5f8d3e8b486e9
3
+ size 11422635
checkpoint-3200/tokenizer_config.json ADDED
@@ -0,0 +1,222 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "<|audio_start|>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": true
188
+ },
189
+ "151666": {
190
+ "content": "<|audio_end|>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": true
196
+ },
197
+ "151667": {
198
+ "content": "<|audio_pad|>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": true
204
+ }
205
+ },
206
+ "additional_special_tokens": [
207
+ "<|audio_start|>",
208
+ "<|audio_end|>",
209
+ "<|audio_pad|>"
210
+ ],
211
+ "bos_token": null,
212
+ "clean_up_tokenization_spaces": false,
213
+ "eos_token": "<|im_end|>",
214
+ "errors": "replace",
215
+ "extra_special_tokens": {},
216
+ "model_max_length": 131072,
217
+ "pad_token": "<|endoftext|>",
218
+ "processor_class": "Qwen2VLProcessor",
219
+ "split_special_tokens": false,
220
+ "tokenizer_class": "Qwen2Tokenizer",
221
+ "unk_token": null
222
+ }
checkpoint-3200/trainer_state.json ADDED
@@ -0,0 +1,610 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.7168343393695507,
6
+ "eval_steps": 200,
7
+ "global_step": 3200,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.02682763246143528,
14
+ "grad_norm": 7.5027008056640625,
15
+ "learning_rate": 0.00019991475902800314,
16
+ "loss": 18.1731,
17
+ "step": 50
18
+ },
19
+ {
20
+ "epoch": 0.05365526492287056,
21
+ "grad_norm": 5.68405294418335,
22
+ "learning_rate": 0.0001996521945196495,
23
+ "loss": 16.1431,
24
+ "step": 100
25
+ },
26
+ {
27
+ "epoch": 0.08048289738430583,
28
+ "grad_norm": 5.743220806121826,
29
+ "learning_rate": 0.00019921273704680872,
30
+ "loss": 16.2968,
31
+ "step": 150
32
+ },
33
+ {
34
+ "epoch": 0.10731052984574112,
35
+ "grad_norm": 6.115276336669922,
36
+ "learning_rate": 0.0001985971666920019,
37
+ "loss": 15.9962,
38
+ "step": 200
39
+ },
40
+ {
41
+ "epoch": 0.10731052984574112,
42
+ "eval_loss": 1.7225275039672852,
43
+ "eval_runtime": 27.5115,
44
+ "eval_samples_per_second": 3.635,
45
+ "eval_steps_per_second": 1.817,
46
+ "step": 200
47
+ },
48
+ {
49
+ "epoch": 0.1341381623071764,
50
+ "grad_norm": 8.04736328125,
51
+ "learning_rate": 0.00019780657615635263,
52
+ "loss": 15.9676,
53
+ "step": 250
54
+ },
55
+ {
56
+ "epoch": 0.16096579476861167,
57
+ "grad_norm": 6.840994358062744,
58
+ "learning_rate": 0.0001968423688199291,
59
+ "loss": 15.7539,
60
+ "step": 300
61
+ },
62
+ {
63
+ "epoch": 0.18779342723004694,
64
+ "grad_norm": 8.343657493591309,
65
+ "learning_rate": 0.00019570625625059935,
66
+ "loss": 15.5103,
67
+ "step": 350
68
+ },
69
+ {
70
+ "epoch": 0.21462105969148224,
71
+ "grad_norm": 6.539078712463379,
72
+ "learning_rate": 0.00019440025516582107,
73
+ "loss": 15.4896,
74
+ "step": 400
75
+ },
76
+ {
77
+ "epoch": 0.21462105969148224,
78
+ "eval_loss": 1.6813037395477295,
79
+ "eval_runtime": 27.4264,
80
+ "eval_samples_per_second": 3.646,
81
+ "eval_steps_per_second": 1.823,
82
+ "step": 400
83
+ },
84
+ {
85
+ "epoch": 0.2414486921529175,
86
+ "grad_norm": 5.919412612915039,
87
+ "learning_rate": 0.00019292668385275914,
88
+ "loss": 15.7171,
89
+ "step": 450
90
+ },
91
+ {
92
+ "epoch": 0.2682763246143528,
93
+ "grad_norm": 8.476408958435059,
94
+ "learning_rate": 0.00019128815805308596,
95
+ "loss": 15.6568,
96
+ "step": 500
97
+ },
98
+ {
99
+ "epoch": 0.29510395707578807,
100
+ "grad_norm": 6.3846330642700195,
101
+ "learning_rate": 0.00018948758631976906,
102
+ "loss": 15.5006,
103
+ "step": 550
104
+ },
105
+ {
106
+ "epoch": 0.32193158953722334,
107
+ "grad_norm": 9.207799911499023,
108
+ "learning_rate": 0.00018752816485408843,
109
+ "loss": 15.3622,
110
+ "step": 600
111
+ },
112
+ {
113
+ "epoch": 0.32193158953722334,
114
+ "eval_loss": 1.657413363456726,
115
+ "eval_runtime": 27.4485,
116
+ "eval_samples_per_second": 3.643,
117
+ "eval_steps_per_second": 1.822,
118
+ "step": 600
119
+ },
120
+ {
121
+ "epoch": 0.3487592219986586,
122
+ "grad_norm": 8.288525581359863,
123
+ "learning_rate": 0.00018541337183204833,
124
+ "loss": 15.1776,
125
+ "step": 650
126
+ },
127
+ {
128
+ "epoch": 0.3755868544600939,
129
+ "grad_norm": 6.99819278717041,
130
+ "learning_rate": 0.00018314696123025454,
131
+ "loss": 15.2676,
132
+ "step": 700
133
+ },
134
+ {
135
+ "epoch": 0.4024144869215292,
136
+ "grad_norm": 6.276946544647217,
137
+ "learning_rate": 0.0001807329561622173,
138
+ "loss": 15.4822,
139
+ "step": 750
140
+ },
141
+ {
142
+ "epoch": 0.42924211938296447,
143
+ "grad_norm": 7.4382123947143555,
144
+ "learning_rate": 0.00017817564173690811,
145
+ "loss": 15.17,
146
+ "step": 800
147
+ },
148
+ {
149
+ "epoch": 0.42924211938296447,
150
+ "eval_loss": 1.6430630683898926,
151
+ "eval_runtime": 27.4278,
152
+ "eval_samples_per_second": 3.646,
153
+ "eval_steps_per_second": 1.823,
154
+ "step": 800
155
+ },
156
+ {
157
+ "epoch": 0.45606975184439974,
158
+ "grad_norm": 6.525240898132324,
159
+ "learning_rate": 0.00017547955745224783,
160
+ "loss": 15.2127,
161
+ "step": 850
162
+ },
163
+ {
164
+ "epoch": 0.482897384305835,
165
+ "grad_norm": 6.991734027862549,
166
+ "learning_rate": 0.00017264948913702733,
167
+ "loss": 14.9923,
168
+ "step": 900
169
+ },
170
+ {
171
+ "epoch": 0.5097250167672703,
172
+ "grad_norm": 7.74118709564209,
173
+ "learning_rate": 0.0001696904604555664,
174
+ "loss": 14.9959,
175
+ "step": 950
176
+ },
177
+ {
178
+ "epoch": 0.5365526492287056,
179
+ "grad_norm": 8.33617115020752,
180
+ "learning_rate": 0.00016660772399018878,
181
+ "loss": 14.8148,
182
+ "step": 1000
183
+ },
184
+ {
185
+ "epoch": 0.5365526492287056,
186
+ "eval_loss": 1.5783880949020386,
187
+ "eval_runtime": 27.4606,
188
+ "eval_samples_per_second": 3.642,
189
+ "eval_steps_per_second": 1.821,
190
+ "step": 1000
191
+ },
192
+ {
193
+ "epoch": 0.5633802816901409,
194
+ "grad_norm": 7.486099720001221,
195
+ "learning_rate": 0.000163406751917345,
196
+ "loss": 14.7974,
197
+ "step": 1050
198
+ },
199
+ {
200
+ "epoch": 0.5902079141515761,
201
+ "grad_norm": 8.10119342803955,
202
+ "learning_rate": 0.0001600932262939324,
203
+ "loss": 14.5883,
204
+ "step": 1100
205
+ },
206
+ {
207
+ "epoch": 0.6170355466130114,
208
+ "grad_norm": 10.781996726989746,
209
+ "learning_rate": 0.0001566730289710558,
210
+ "loss": 14.2,
211
+ "step": 1150
212
+ },
213
+ {
214
+ "epoch": 0.6438631790744467,
215
+ "grad_norm": 14.64252758026123,
216
+ "learning_rate": 0.00015315223115313262,
217
+ "loss": 11.8162,
218
+ "step": 1200
219
+ },
220
+ {
221
+ "epoch": 0.6438631790744467,
222
+ "eval_loss": 1.005837082862854,
223
+ "eval_runtime": 27.4338,
224
+ "eval_samples_per_second": 3.645,
225
+ "eval_steps_per_second": 1.823,
226
+ "step": 1200
227
+ },
228
+ {
229
+ "epoch": 0.670690811535882,
230
+ "grad_norm": 13.796377182006836,
231
+ "learning_rate": 0.0001495370826208764,
232
+ "loss": 6.8475,
233
+ "step": 1250
234
+ },
235
+ {
236
+ "epoch": 0.6975184439973172,
237
+ "grad_norm": 11.29936408996582,
238
+ "learning_rate": 0.0001458340006372889,
239
+ "loss": 2.4798,
240
+ "step": 1300
241
+ },
242
+ {
243
+ "epoch": 0.7243460764587525,
244
+ "grad_norm": 6.6834492683410645,
245
+ "learning_rate": 0.0001420495585563536,
246
+ "loss": 1.6183,
247
+ "step": 1350
248
+ },
249
+ {
250
+ "epoch": 0.7511737089201878,
251
+ "grad_norm": 5.344634532928467,
252
+ "learning_rate": 0.00013819047415465196,
253
+ "loss": 1.4575,
254
+ "step": 1400
255
+ },
256
+ {
257
+ "epoch": 0.7511737089201878,
258
+ "eval_loss": 0.19598053395748138,
259
+ "eval_runtime": 27.4448,
260
+ "eval_samples_per_second": 3.644,
261
+ "eval_steps_per_second": 1.822,
262
+ "step": 1400
263
+ },
264
+ {
265
+ "epoch": 0.778001341381623,
266
+ "grad_norm": 8.362627029418945,
267
+ "learning_rate": 0.00013426359770661405,
268
+ "loss": 1.2922,
269
+ "step": 1450
270
+ },
271
+ {
272
+ "epoch": 0.8048289738430584,
273
+ "grad_norm": 4.9234418869018555,
274
+ "learning_rate": 0.00013027589982457228,
275
+ "loss": 1.2766,
276
+ "step": 1500
277
+ },
278
+ {
279
+ "epoch": 0.8316566063044937,
280
+ "grad_norm": 5.768574237823486,
281
+ "learning_rate": 0.00012623445908520258,
282
+ "loss": 1.1293,
283
+ "step": 1550
284
+ },
285
+ {
286
+ "epoch": 0.8584842387659289,
287
+ "grad_norm": 5.284246444702148,
288
+ "learning_rate": 0.00012214644946431785,
289
+ "loss": 1.1295,
290
+ "step": 1600
291
+ },
292
+ {
293
+ "epoch": 0.8584842387659289,
294
+ "eval_loss": 0.16764384508132935,
295
+ "eval_runtime": 27.4111,
296
+ "eval_samples_per_second": 3.648,
297
+ "eval_steps_per_second": 1.824,
298
+ "step": 1600
299
+ },
300
+ {
301
+ "epoch": 0.8853118712273642,
302
+ "grad_norm": 5.7961225509643555,
303
+ "learning_rate": 0.00011801912760231802,
304
+ "loss": 1.0936,
305
+ "step": 1650
306
+ },
307
+ {
308
+ "epoch": 0.9121395036887995,
309
+ "grad_norm": 4.642612934112549,
310
+ "learning_rate": 0.0001138598199229018,
311
+ "loss": 1.0898,
312
+ "step": 1700
313
+ },
314
+ {
315
+ "epoch": 0.9389671361502347,
316
+ "grad_norm": 5.459797382354736,
317
+ "learning_rate": 0.0001096759096279061,
318
+ "loss": 1.0331,
319
+ "step": 1750
320
+ },
321
+ {
322
+ "epoch": 0.96579476861167,
323
+ "grad_norm": 4.336981773376465,
324
+ "learning_rate": 0.00010547482359135805,
325
+ "loss": 1.0427,
326
+ "step": 1800
327
+ },
328
+ {
329
+ "epoch": 0.96579476861167,
330
+ "eval_loss": 0.15734320878982544,
331
+ "eval_runtime": 27.4537,
332
+ "eval_samples_per_second": 3.642,
333
+ "eval_steps_per_second": 1.821,
334
+ "step": 1800
335
+ },
336
+ {
337
+ "epoch": 0.9926224010731053,
338
+ "grad_norm": 4.62598991394043,
339
+ "learning_rate": 0.00010126401917600476,
340
+ "loss": 1.0167,
341
+ "step": 1850
342
+ },
343
+ {
344
+ "epoch": 1.0193158953722334,
345
+ "grad_norm": 3.739978551864624,
346
+ "learning_rate": 9.705097099572197e-05,
347
+ "loss": 0.818,
348
+ "step": 1900
349
+ },
350
+ {
351
+ "epoch": 1.0461435278336686,
352
+ "grad_norm": 3.3912863731384277,
353
+ "learning_rate": 9.284315764730047e-05,
354
+ "loss": 0.9189,
355
+ "step": 1950
356
+ },
357
+ {
358
+ "epoch": 1.072971160295104,
359
+ "grad_norm": 3.9238812923431396,
360
+ "learning_rate": 8.864804843516263e-05,
361
+ "loss": 0.8213,
362
+ "step": 2000
363
+ },
364
+ {
365
+ "epoch": 1.072971160295104,
366
+ "eval_loss": 0.15182910859584808,
367
+ "eval_runtime": 27.4216,
368
+ "eval_samples_per_second": 3.647,
369
+ "eval_steps_per_second": 1.823,
370
+ "step": 2000
371
+ },
372
+ {
373
+ "epoch": 1.0997987927565391,
374
+ "grad_norm": 3.6631221771240234,
375
+ "learning_rate": 8.447309011257313e-05,
376
+ "loss": 0.8213,
377
+ "step": 2050
378
+ },
379
+ {
380
+ "epoch": 1.1266264252179745,
381
+ "grad_norm": 3.994750499725342,
382
+ "learning_rate": 8.032569366288115e-05,
383
+ "loss": 0.9157,
384
+ "step": 2100
385
+ },
386
+ {
387
+ "epoch": 1.1534540576794097,
388
+ "grad_norm": 4.084840297698975,
389
+ "learning_rate": 7.621322114425742e-05,
390
+ "loss": 0.827,
391
+ "step": 2150
392
+ },
393
+ {
394
+ "epoch": 1.180281690140845,
395
+ "grad_norm": 3.7172036170959473,
396
+ "learning_rate": 7.214297262127847e-05,
397
+ "loss": 0.8447,
398
+ "step": 2200
399
+ },
400
+ {
401
+ "epoch": 1.180281690140845,
402
+ "eval_loss": 0.14608320593833923,
403
+ "eval_runtime": 27.4428,
404
+ "eval_samples_per_second": 3.644,
405
+ "eval_steps_per_second": 1.822,
406
+ "step": 2200
407
+ },
408
+ {
409
+ "epoch": 1.2071093226022804,
410
+ "grad_norm": 2.58469557762146,
411
+ "learning_rate": 6.812217320655623e-05,
412
+ "loss": 0.7118,
413
+ "step": 2250
414
+ },
415
+ {
416
+ "epoch": 1.2339369550637156,
417
+ "grad_norm": 6.637762069702148,
418
+ "learning_rate": 6.415796023541492e-05,
419
+ "loss": 0.7826,
420
+ "step": 2300
421
+ },
422
+ {
423
+ "epoch": 1.260764587525151,
424
+ "grad_norm": 4.4718523025512695,
425
+ "learning_rate": 6.025737059638171e-05,
426
+ "loss": 0.8196,
427
+ "step": 2350
428
+ },
429
+ {
430
+ "epoch": 1.2875922199865861,
431
+ "grad_norm": 3.8473703861236572,
432
+ "learning_rate": 5.642732823998089e-05,
433
+ "loss": 0.8231,
434
+ "step": 2400
435
+ },
436
+ {
437
+ "epoch": 1.2875922199865861,
438
+ "eval_loss": 0.1348160356283188,
439
+ "eval_runtime": 27.3869,
440
+ "eval_samples_per_second": 3.651,
441
+ "eval_steps_per_second": 1.826,
442
+ "step": 2400
443
+ },
444
+ {
445
+ "epoch": 1.3144198524480215,
446
+ "grad_norm": 3.9922826290130615,
447
+ "learning_rate": 5.2674631888004856e-05,
448
+ "loss": 0.7969,
449
+ "step": 2450
450
+ },
451
+ {
452
+ "epoch": 1.3412474849094567,
453
+ "grad_norm": 3.4095168113708496,
454
+ "learning_rate": 4.900594296507873e-05,
455
+ "loss": 0.7725,
456
+ "step": 2500
457
+ },
458
+ {
459
+ "epoch": 1.368075117370892,
460
+ "grad_norm": 3.783811092376709,
461
+ "learning_rate": 4.54277737739419e-05,
462
+ "loss": 0.7774,
463
+ "step": 2550
464
+ },
465
+ {
466
+ "epoch": 1.3949027498323274,
467
+ "grad_norm": 3.9570724964141846,
468
+ "learning_rate": 4.194647593543626e-05,
469
+ "loss": 0.7772,
470
+ "step": 2600
471
+ },
472
+ {
473
+ "epoch": 1.3949027498323274,
474
+ "eval_loss": 0.13617002964019775,
475
+ "eval_runtime": 27.4675,
476
+ "eval_samples_per_second": 3.641,
477
+ "eval_steps_per_second": 1.82,
478
+ "step": 2600
479
+ },
480
+ {
481
+ "epoch": 1.4217303822937626,
482
+ "grad_norm": 3.592595100402832,
483
+ "learning_rate": 3.856822911372172e-05,
484
+ "loss": 0.7574,
485
+ "step": 2650
486
+ },
487
+ {
488
+ "epoch": 1.4485580147551977,
489
+ "grad_norm": 3.219799757003784,
490
+ "learning_rate": 3.529903004673195e-05,
491
+ "loss": 0.7449,
492
+ "step": 2700
493
+ },
494
+ {
495
+ "epoch": 1.4753856472166331,
496
+ "grad_norm": 2.9970314502716064,
497
+ "learning_rate": 3.214468190134399e-05,
498
+ "loss": 0.7427,
499
+ "step": 2750
500
+ },
501
+ {
502
+ "epoch": 1.5022132796780685,
503
+ "grad_norm": 4.332944869995117,
504
+ "learning_rate": 2.9110783972155986e-05,
505
+ "loss": 0.7423,
506
+ "step": 2800
507
+ },
508
+ {
509
+ "epoch": 1.5022132796780685,
510
+ "eval_loss": 0.13367226719856262,
511
+ "eval_runtime": 27.4565,
512
+ "eval_samples_per_second": 3.642,
513
+ "eval_steps_per_second": 1.821,
514
+ "step": 2800
515
+ },
516
+ {
517
+ "epoch": 1.5290409121395037,
518
+ "grad_norm": 3.32442569732666,
519
+ "learning_rate": 2.620272174215934e-05,
520
+ "loss": 0.7158,
521
+ "step": 2850
522
+ },
523
+ {
524
+ "epoch": 1.5558685446009388,
525
+ "grad_norm": 9.93055248260498,
526
+ "learning_rate": 2.342565732294888e-05,
527
+ "loss": 0.735,
528
+ "step": 2900
529
+ },
530
+ {
531
+ "epoch": 1.5826961770623742,
532
+ "grad_norm": 3.827907085418701,
533
+ "learning_rate": 2.0784520291440112e-05,
534
+ "loss": 0.7275,
535
+ "step": 2950
536
+ },
537
+ {
538
+ "epoch": 1.6095238095238096,
539
+ "grad_norm": 3.1687772274017334,
540
+ "learning_rate": 1.8283998939359804e-05,
541
+ "loss": 0.8836,
542
+ "step": 3000
543
+ },
544
+ {
545
+ "epoch": 1.6095238095238096,
546
+ "eval_loss": 0.13239088654518127,
547
+ "eval_runtime": 27.455,
548
+ "eval_samples_per_second": 3.642,
549
+ "eval_steps_per_second": 1.821,
550
+ "step": 3000
551
+ },
552
+ {
553
+ "epoch": 1.6363514419852447,
554
+ "grad_norm": 4.375887870788574,
555
+ "learning_rate": 1.5928531951042637e-05,
556
+ "loss": 0.7888,
557
+ "step": 3050
558
+ },
559
+ {
560
+ "epoch": 1.6631790744466801,
561
+ "grad_norm": 4.018885612487793,
562
+ "learning_rate": 1.3722300524306963e-05,
563
+ "loss": 0.736,
564
+ "step": 3100
565
+ },
566
+ {
567
+ "epoch": 1.6900067069081155,
568
+ "grad_norm": 3.979449510574341,
569
+ "learning_rate": 1.1669220948395598e-05,
570
+ "loss": 0.6781,
571
+ "step": 3150
572
+ },
573
+ {
574
+ "epoch": 1.7168343393695507,
575
+ "grad_norm": 2.4378533363342285,
576
+ "learning_rate": 9.772937652156855e-06,
577
+ "loss": 0.6925,
578
+ "step": 3200
579
+ },
580
+ {
581
+ "epoch": 1.7168343393695507,
582
+ "eval_loss": 0.1303812861442566,
583
+ "eval_runtime": 27.4175,
584
+ "eval_samples_per_second": 3.647,
585
+ "eval_steps_per_second": 1.824,
586
+ "step": 3200
587
+ }
588
+ ],
589
+ "logging_steps": 50,
590
+ "max_steps": 3728,
591
+ "num_input_tokens_seen": 0,
592
+ "num_train_epochs": 2,
593
+ "save_steps": 200,
594
+ "stateful_callbacks": {
595
+ "TrainerControl": {
596
+ "args": {
597
+ "should_epoch_stop": false,
598
+ "should_evaluate": false,
599
+ "should_log": false,
600
+ "should_save": true,
601
+ "should_training_stop": false
602
+ },
603
+ "attributes": {}
604
+ }
605
+ },
606
+ "total_flos": 2.3210369254440346e+17,
607
+ "train_batch_size": 2,
608
+ "trial_name": null,
609
+ "trial_params": null
610
+ }
checkpoint-3200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:351ca4b5a7767b575d40ff4a50af757e1805c38e54b38759b20fc616795eeb8e
3
+ size 5688
checkpoint-3200/vocab.json ADDED
The diff for this file is too large to render. See raw diff