prxy5605 commited on
Commit
23726e6
·
verified ·
1 Parent(s): 455628c

Training in progress, epoch 0, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: katuni4ka/tiny-random-qwen1.5-moe
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 0.13.2
last-checkpoint/adapter_config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "katuni4ka/tiny-random-qwen1.5-moe",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "q_proj",
24
+ "gate",
25
+ "o_proj",
26
+ "down_proj",
27
+ "shared_expert_gate",
28
+ "up_proj",
29
+ "k_proj",
30
+ "gate_proj",
31
+ "v_proj"
32
+ ],
33
+ "task_type": "CAUSAL_LM",
34
+ "use_dora": false,
35
+ "use_rslora": false
36
+ }
last-checkpoint/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:af6feddda08bc24c4a603a29d6dd54c3e40f58ac1e30646050e19798dafcbd8a
3
+ size 327040
last-checkpoint/added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|endoftext|>": 151643,
3
+ "<|im_end|>": 151645,
4
+ "<|im_start|>": 151644
5
+ }
last-checkpoint/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f81a0036f026ba5f1a897095ceddffd2c83cb8efa77fa9a7c7656532cf41975
3
+ size 739578
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0514231722c725394100d2eeeecc9a626d166951e2a8a61c7148de130d7f839d
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:705cabf5cbc3a6ab0feb67c77b9b453d59efcc939ce90d310af96e621810f990
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "eos_token": {
7
+ "content": "<|endoftext|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "pad_token": {
14
+ "content": "<|endoftext|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ }
20
+ }
last-checkpoint/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bcfe42da0a4497e8b2b172c1f9f4ec423a46dc12907f4349c55025f670422ba9
3
+ size 11418266
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ },
29
+ "additional_special_tokens": [
30
+ "<|im_start|>",
31
+ "<|im_end|>"
32
+ ],
33
+ "bos_token": null,
34
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
35
+ "clean_up_tokenization_spaces": false,
36
+ "eos_token": "<|endoftext|>",
37
+ "errors": "replace",
38
+ "model_max_length": 32768,
39
+ "pad_token": "<|endoftext|>",
40
+ "split_special_tokens": false,
41
+ "tokenizer_class": "Qwen2Tokenizer",
42
+ "unk_token": null
43
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,633 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.008678389724786566,
5
+ "eval_steps": 100,
6
+ "global_step": 400,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 2.1695974311966415e-05,
13
+ "eval_loss": 11.935809135437012,
14
+ "eval_runtime": 293.8099,
15
+ "eval_samples_per_second": 66.053,
16
+ "eval_steps_per_second": 33.028,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.00010847987155983208,
21
+ "grad_norm": 0.15566453337669373,
22
+ "learning_rate": 1.6666666666666667e-05,
23
+ "loss": 11.9341,
24
+ "step": 5
25
+ },
26
+ {
27
+ "epoch": 0.00021695974311966416,
28
+ "grad_norm": 0.13513855636119843,
29
+ "learning_rate": 3.3333333333333335e-05,
30
+ "loss": 11.9339,
31
+ "step": 10
32
+ },
33
+ {
34
+ "epoch": 0.0003254396146794962,
35
+ "grad_norm": 0.12842746078968048,
36
+ "learning_rate": 5e-05,
37
+ "loss": 11.937,
38
+ "step": 15
39
+ },
40
+ {
41
+ "epoch": 0.0004339194862393283,
42
+ "grad_norm": 0.17119921743869781,
43
+ "learning_rate": 6.666666666666667e-05,
44
+ "loss": 11.9367,
45
+ "step": 20
46
+ },
47
+ {
48
+ "epoch": 0.0005423993577991604,
49
+ "grad_norm": 0.20038500428199768,
50
+ "learning_rate": 8.333333333333334e-05,
51
+ "loss": 11.9327,
52
+ "step": 25
53
+ },
54
+ {
55
+ "epoch": 0.0006508792293589925,
56
+ "grad_norm": 0.17738866806030273,
57
+ "learning_rate": 0.0001,
58
+ "loss": 11.9328,
59
+ "step": 30
60
+ },
61
+ {
62
+ "epoch": 0.0007593591009188245,
63
+ "grad_norm": 0.141236811876297,
64
+ "learning_rate": 9.995494831023409e-05,
65
+ "loss": 11.931,
66
+ "step": 35
67
+ },
68
+ {
69
+ "epoch": 0.0008678389724786566,
70
+ "grad_norm": 0.2033369392156601,
71
+ "learning_rate": 9.981987442712633e-05,
72
+ "loss": 11.933,
73
+ "step": 40
74
+ },
75
+ {
76
+ "epoch": 0.0009763188440384886,
77
+ "grad_norm": 0.1696261763572693,
78
+ "learning_rate": 9.959502176294383e-05,
79
+ "loss": 11.9278,
80
+ "step": 45
81
+ },
82
+ {
83
+ "epoch": 0.0010847987155983207,
84
+ "grad_norm": 0.24034294486045837,
85
+ "learning_rate": 9.928079551738543e-05,
86
+ "loss": 11.9221,
87
+ "step": 50
88
+ },
89
+ {
90
+ "epoch": 0.0011932785871581527,
91
+ "grad_norm": 0.21366427838802338,
92
+ "learning_rate": 9.887776194738432e-05,
93
+ "loss": 11.9258,
94
+ "step": 55
95
+ },
96
+ {
97
+ "epoch": 0.001301758458717985,
98
+ "grad_norm": 0.2040693759918213,
99
+ "learning_rate": 9.838664734667495e-05,
100
+ "loss": 11.9222,
101
+ "step": 60
102
+ },
103
+ {
104
+ "epoch": 0.0014102383302778169,
105
+ "grad_norm": 0.25024330615997314,
106
+ "learning_rate": 9.780833673696254e-05,
107
+ "loss": 11.921,
108
+ "step": 65
109
+ },
110
+ {
111
+ "epoch": 0.001518718201837649,
112
+ "grad_norm": 0.2731180787086487,
113
+ "learning_rate": 9.714387227305422e-05,
114
+ "loss": 11.912,
115
+ "step": 70
116
+ },
117
+ {
118
+ "epoch": 0.001627198073397481,
119
+ "grad_norm": 0.26710769534111023,
120
+ "learning_rate": 9.639445136482548e-05,
121
+ "loss": 11.9104,
122
+ "step": 75
123
+ },
124
+ {
125
+ "epoch": 0.0017356779449573133,
126
+ "grad_norm": 0.28881633281707764,
127
+ "learning_rate": 9.55614245194068e-05,
128
+ "loss": 11.9022,
129
+ "step": 80
130
+ },
131
+ {
132
+ "epoch": 0.0018441578165171453,
133
+ "grad_norm": 0.3406215012073517,
134
+ "learning_rate": 9.464629290747842e-05,
135
+ "loss": 11.8949,
136
+ "step": 85
137
+ },
138
+ {
139
+ "epoch": 0.0019526376880769772,
140
+ "grad_norm": 0.40581774711608887,
141
+ "learning_rate": 9.365070565805941e-05,
142
+ "loss": 11.8852,
143
+ "step": 90
144
+ },
145
+ {
146
+ "epoch": 0.0020611175596368094,
147
+ "grad_norm": 0.35484281182289124,
148
+ "learning_rate": 9.257645688666556e-05,
149
+ "loss": 11.8833,
150
+ "step": 95
151
+ },
152
+ {
153
+ "epoch": 0.0021695974311966414,
154
+ "grad_norm": 0.30402904748916626,
155
+ "learning_rate": 9.142548246219212e-05,
156
+ "loss": 11.8834,
157
+ "step": 100
158
+ },
159
+ {
160
+ "epoch": 0.0021695974311966414,
161
+ "eval_loss": 11.879146575927734,
162
+ "eval_runtime": 294.6625,
163
+ "eval_samples_per_second": 65.862,
164
+ "eval_steps_per_second": 32.933,
165
+ "step": 100
166
+ },
167
+ {
168
+ "epoch": 0.0022780773027564734,
169
+ "grad_norm": 0.28309234976768494,
170
+ "learning_rate": 9.019985651834703e-05,
171
+ "loss": 11.8862,
172
+ "step": 105
173
+ },
174
+ {
175
+ "epoch": 0.0023865571743163054,
176
+ "grad_norm": 0.2482827603816986,
177
+ "learning_rate": 8.890178771592199e-05,
178
+ "loss": 11.8759,
179
+ "step": 110
180
+ },
181
+ {
182
+ "epoch": 0.002495037045876138,
183
+ "grad_norm": 0.3396661877632141,
184
+ "learning_rate": 8.753361526263621e-05,
185
+ "loss": 11.8619,
186
+ "step": 115
187
+ },
188
+ {
189
+ "epoch": 0.00260351691743597,
190
+ "grad_norm": 0.29237067699432373,
191
+ "learning_rate": 8.609780469772623e-05,
192
+ "loss": 11.8653,
193
+ "step": 120
194
+ },
195
+ {
196
+ "epoch": 0.002711996788995802,
197
+ "grad_norm": 0.2691107988357544,
198
+ "learning_rate": 8.459694344887732e-05,
199
+ "loss": 11.8656,
200
+ "step": 125
201
+ },
202
+ {
203
+ "epoch": 0.0028204766605556338,
204
+ "grad_norm": 0.2159227430820465,
205
+ "learning_rate": 8.303373616950408e-05,
206
+ "loss": 11.8707,
207
+ "step": 130
208
+ },
209
+ {
210
+ "epoch": 0.0029289565321154658,
211
+ "grad_norm": 0.29222938418388367,
212
+ "learning_rate": 8.141099986478212e-05,
213
+ "loss": 11.8527,
214
+ "step": 135
215
+ },
216
+ {
217
+ "epoch": 0.003037436403675298,
218
+ "grad_norm": 0.2999395430088043,
219
+ "learning_rate": 7.973165881521434e-05,
220
+ "loss": 11.8495,
221
+ "step": 140
222
+ },
223
+ {
224
+ "epoch": 0.00314591627523513,
225
+ "grad_norm": 0.18667206168174744,
226
+ "learning_rate": 7.799873930687978e-05,
227
+ "loss": 11.8491,
228
+ "step": 145
229
+ },
230
+ {
231
+ "epoch": 0.003254396146794962,
232
+ "grad_norm": 0.21483804285526276,
233
+ "learning_rate": 7.621536417786159e-05,
234
+ "loss": 11.858,
235
+ "step": 150
236
+ },
237
+ {
238
+ "epoch": 0.003362876018354794,
239
+ "grad_norm": 0.2531699240207672,
240
+ "learning_rate": 7.438474719068173e-05,
241
+ "loss": 11.8516,
242
+ "step": 155
243
+ },
244
+ {
245
+ "epoch": 0.0034713558899146266,
246
+ "grad_norm": 0.23763595521450043,
247
+ "learning_rate": 7.251018724088367e-05,
248
+ "loss": 11.8592,
249
+ "step": 160
250
+ },
251
+ {
252
+ "epoch": 0.0035798357614744585,
253
+ "grad_norm": 0.15770548582077026,
254
+ "learning_rate": 7.059506241219965e-05,
255
+ "loss": 11.8438,
256
+ "step": 165
257
+ },
258
+ {
259
+ "epoch": 0.0036883156330342905,
260
+ "grad_norm": 0.1576322615146637,
261
+ "learning_rate": 6.864282388901544e-05,
262
+ "loss": 11.8531,
263
+ "step": 170
264
+ },
265
+ {
266
+ "epoch": 0.0037967955045941225,
267
+ "grad_norm": 0.18687373399734497,
268
+ "learning_rate": 6.665698973710288e-05,
269
+ "loss": 11.8449,
270
+ "step": 175
271
+ },
272
+ {
273
+ "epoch": 0.0039052753761539545,
274
+ "grad_norm": 0.21958865225315094,
275
+ "learning_rate": 6.464113856382752e-05,
276
+ "loss": 11.8447,
277
+ "step": 180
278
+ },
279
+ {
280
+ "epoch": 0.004013755247713787,
281
+ "grad_norm": 0.1973612904548645,
282
+ "learning_rate": 6.259890306925627e-05,
283
+ "loss": 11.8371,
284
+ "step": 185
285
+ },
286
+ {
287
+ "epoch": 0.004122235119273619,
288
+ "grad_norm": 0.19669975340366364,
289
+ "learning_rate": 6.0533963499786314e-05,
290
+ "loss": 11.8471,
291
+ "step": 190
292
+ },
293
+ {
294
+ "epoch": 0.004230714990833451,
295
+ "grad_norm": 0.18256022036075592,
296
+ "learning_rate": 5.8450041016092464e-05,
297
+ "loss": 11.8292,
298
+ "step": 195
299
+ },
300
+ {
301
+ "epoch": 0.004339194862393283,
302
+ "grad_norm": 0.2624127268791199,
303
+ "learning_rate": 5.6350890987343944e-05,
304
+ "loss": 11.8375,
305
+ "step": 200
306
+ },
307
+ {
308
+ "epoch": 0.004339194862393283,
309
+ "eval_loss": 11.839664459228516,
310
+ "eval_runtime": 295.3522,
311
+ "eval_samples_per_second": 65.708,
312
+ "eval_steps_per_second": 32.856,
313
+ "step": 200
314
+ },
315
+ {
316
+ "epoch": 0.004447674733953115,
317
+ "grad_norm": 0.1508708894252777,
318
+ "learning_rate": 5.4240296223775465e-05,
319
+ "loss": 11.8484,
320
+ "step": 205
321
+ },
322
+ {
323
+ "epoch": 0.004556154605512947,
324
+ "grad_norm": 0.13817380368709564,
325
+ "learning_rate": 5.212206015980742e-05,
326
+ "loss": 11.8426,
327
+ "step": 210
328
+ },
329
+ {
330
+ "epoch": 0.004664634477072779,
331
+ "grad_norm": 0.14686021208763123,
332
+ "learning_rate": 5e-05,
333
+ "loss": 11.8489,
334
+ "step": 215
335
+ },
336
+ {
337
+ "epoch": 0.004773114348632611,
338
+ "grad_norm": 0.15063568949699402,
339
+ "learning_rate": 4.78779398401926e-05,
340
+ "loss": 11.8389,
341
+ "step": 220
342
+ },
343
+ {
344
+ "epoch": 0.004881594220192444,
345
+ "grad_norm": 0.16536208987236023,
346
+ "learning_rate": 4.575970377622456e-05,
347
+ "loss": 11.842,
348
+ "step": 225
349
+ },
350
+ {
351
+ "epoch": 0.004990074091752276,
352
+ "grad_norm": 0.1842128187417984,
353
+ "learning_rate": 4.364910901265606e-05,
354
+ "loss": 11.8426,
355
+ "step": 230
356
+ },
357
+ {
358
+ "epoch": 0.005098553963312108,
359
+ "grad_norm": 0.1707184910774231,
360
+ "learning_rate": 4.1549958983907555e-05,
361
+ "loss": 11.8401,
362
+ "step": 235
363
+ },
364
+ {
365
+ "epoch": 0.00520703383487194,
366
+ "grad_norm": 0.17228449881076813,
367
+ "learning_rate": 3.94660365002137e-05,
368
+ "loss": 11.8237,
369
+ "step": 240
370
+ },
371
+ {
372
+ "epoch": 0.005315513706431772,
373
+ "grad_norm": 0.18822325766086578,
374
+ "learning_rate": 3.740109693074375e-05,
375
+ "loss": 11.8214,
376
+ "step": 245
377
+ },
378
+ {
379
+ "epoch": 0.005423993577991604,
380
+ "grad_norm": 0.15260934829711914,
381
+ "learning_rate": 3.5358861436172485e-05,
382
+ "loss": 11.8264,
383
+ "step": 250
384
+ },
385
+ {
386
+ "epoch": 0.0055324734495514356,
387
+ "grad_norm": 0.10711085051298141,
388
+ "learning_rate": 3.334301026289712e-05,
389
+ "loss": 11.8456,
390
+ "step": 255
391
+ },
392
+ {
393
+ "epoch": 0.0056409533211112676,
394
+ "grad_norm": 0.14801694452762604,
395
+ "learning_rate": 3.135717611098458e-05,
396
+ "loss": 11.837,
397
+ "step": 260
398
+ },
399
+ {
400
+ "epoch": 0.0057494331926710995,
401
+ "grad_norm": 0.10283401608467102,
402
+ "learning_rate": 2.9404937587800375e-05,
403
+ "loss": 11.8411,
404
+ "step": 265
405
+ },
406
+ {
407
+ "epoch": 0.0058579130642309315,
408
+ "grad_norm": 0.11635620892047882,
409
+ "learning_rate": 2.748981275911633e-05,
410
+ "loss": 11.8293,
411
+ "step": 270
412
+ },
413
+ {
414
+ "epoch": 0.005966392935790764,
415
+ "grad_norm": 0.10565590113401413,
416
+ "learning_rate": 2.5615252809318284e-05,
417
+ "loss": 11.8305,
418
+ "step": 275
419
+ },
420
+ {
421
+ "epoch": 0.006074872807350596,
422
+ "grad_norm": 0.10437976568937302,
423
+ "learning_rate": 2.3784635822138424e-05,
424
+ "loss": 11.8304,
425
+ "step": 280
426
+ },
427
+ {
428
+ "epoch": 0.006183352678910428,
429
+ "grad_norm": 0.16932187974452972,
430
+ "learning_rate": 2.2001260693120233e-05,
431
+ "loss": 11.828,
432
+ "step": 285
433
+ },
434
+ {
435
+ "epoch": 0.00629183255047026,
436
+ "grad_norm": 0.22562319040298462,
437
+ "learning_rate": 2.026834118478567e-05,
438
+ "loss": 11.8261,
439
+ "step": 290
440
+ },
441
+ {
442
+ "epoch": 0.006400312422030092,
443
+ "grad_norm": 0.1617041528224945,
444
+ "learning_rate": 1.858900013521788e-05,
445
+ "loss": 11.8353,
446
+ "step": 295
447
+ },
448
+ {
449
+ "epoch": 0.006508792293589924,
450
+ "grad_norm": 0.22705136239528656,
451
+ "learning_rate": 1.6966263830495936e-05,
452
+ "loss": 11.8313,
453
+ "step": 300
454
+ },
455
+ {
456
+ "epoch": 0.006508792293589924,
457
+ "eval_loss": 11.834197998046875,
458
+ "eval_runtime": 296.4704,
459
+ "eval_samples_per_second": 65.46,
460
+ "eval_steps_per_second": 32.732,
461
+ "step": 300
462
+ },
463
+ {
464
+ "epoch": 0.006617272165149756,
465
+ "grad_norm": 0.19286486506462097,
466
+ "learning_rate": 1.5403056551122697e-05,
467
+ "loss": 11.8476,
468
+ "step": 305
469
+ },
470
+ {
471
+ "epoch": 0.006725752036709588,
472
+ "grad_norm": 0.12702083587646484,
473
+ "learning_rate": 1.3902195302273779e-05,
474
+ "loss": 11.8422,
475
+ "step": 310
476
+ },
477
+ {
478
+ "epoch": 0.00683423190826942,
479
+ "grad_norm": 0.11417343467473984,
480
+ "learning_rate": 1.246638473736378e-05,
481
+ "loss": 11.8398,
482
+ "step": 315
483
+ },
484
+ {
485
+ "epoch": 0.006942711779829253,
486
+ "grad_norm": 0.10566074401140213,
487
+ "learning_rate": 1.1098212284078036e-05,
488
+ "loss": 11.8339,
489
+ "step": 320
490
+ },
491
+ {
492
+ "epoch": 0.007051191651389085,
493
+ "grad_norm": 0.12960262596607208,
494
+ "learning_rate": 9.800143481652979e-06,
495
+ "loss": 11.8344,
496
+ "step": 325
497
+ },
498
+ {
499
+ "epoch": 0.007159671522948917,
500
+ "grad_norm": 0.11917758733034134,
501
+ "learning_rate": 8.574517537807897e-06,
502
+ "loss": 11.8281,
503
+ "step": 330
504
+ },
505
+ {
506
+ "epoch": 0.007268151394508749,
507
+ "grad_norm": 0.18406090140342712,
508
+ "learning_rate": 7.423543113334436e-06,
509
+ "loss": 11.8358,
510
+ "step": 335
511
+ },
512
+ {
513
+ "epoch": 0.007376631266068581,
514
+ "grad_norm": 0.1254497766494751,
515
+ "learning_rate": 6.349294341940593e-06,
516
+ "loss": 11.8402,
517
+ "step": 340
518
+ },
519
+ {
520
+ "epoch": 0.007485111137628413,
521
+ "grad_norm": 0.19740301370620728,
522
+ "learning_rate": 5.353707092521582e-06,
523
+ "loss": 11.8325,
524
+ "step": 345
525
+ },
526
+ {
527
+ "epoch": 0.007593591009188245,
528
+ "grad_norm": 0.28371068835258484,
529
+ "learning_rate": 4.43857548059321e-06,
530
+ "loss": 11.8434,
531
+ "step": 350
532
+ },
533
+ {
534
+ "epoch": 0.007702070880748077,
535
+ "grad_norm": 0.11046874523162842,
536
+ "learning_rate": 3.605548635174533e-06,
537
+ "loss": 11.8349,
538
+ "step": 355
539
+ },
540
+ {
541
+ "epoch": 0.007810550752307909,
542
+ "grad_norm": 0.14138200879096985,
543
+ "learning_rate": 2.85612772694579e-06,
544
+ "loss": 11.836,
545
+ "step": 360
546
+ },
547
+ {
548
+ "epoch": 0.007919030623867741,
549
+ "grad_norm": 0.12249435484409332,
550
+ "learning_rate": 2.191663263037458e-06,
551
+ "loss": 11.8327,
552
+ "step": 365
553
+ },
554
+ {
555
+ "epoch": 0.008027510495427574,
556
+ "grad_norm": 0.08023572713136673,
557
+ "learning_rate": 1.6133526533250565e-06,
558
+ "loss": 11.8353,
559
+ "step": 370
560
+ },
561
+ {
562
+ "epoch": 0.008135990366987405,
563
+ "grad_norm": 0.12616612017154694,
564
+ "learning_rate": 1.1222380526156928e-06,
565
+ "loss": 11.8323,
566
+ "step": 375
567
+ },
568
+ {
569
+ "epoch": 0.008244470238547238,
570
+ "grad_norm": 0.13970719277858734,
571
+ "learning_rate": 7.192044826145771e-07,
572
+ "loss": 11.8326,
573
+ "step": 380
574
+ },
575
+ {
576
+ "epoch": 0.008352950110107069,
577
+ "grad_norm": 0.16991889476776123,
578
+ "learning_rate": 4.049782370561583e-07,
579
+ "loss": 11.8286,
580
+ "step": 385
581
+ },
582
+ {
583
+ "epoch": 0.008461429981666902,
584
+ "grad_norm": 0.23203876614570618,
585
+ "learning_rate": 1.8012557287367392e-07,
586
+ "loss": 11.836,
587
+ "step": 390
588
+ },
589
+ {
590
+ "epoch": 0.008569909853226735,
591
+ "grad_norm": 0.13499905169010162,
592
+ "learning_rate": 4.5051689765929214e-08,
593
+ "loss": 11.835,
594
+ "step": 395
595
+ },
596
+ {
597
+ "epoch": 0.008678389724786566,
598
+ "grad_norm": 0.2364356517791748,
599
+ "learning_rate": 0.0,
600
+ "loss": 11.8392,
601
+ "step": 400
602
+ },
603
+ {
604
+ "epoch": 0.008678389724786566,
605
+ "eval_loss": 11.83340835571289,
606
+ "eval_runtime": 296.0254,
607
+ "eval_samples_per_second": 65.559,
608
+ "eval_steps_per_second": 32.781,
609
+ "step": 400
610
+ }
611
+ ],
612
+ "logging_steps": 5,
613
+ "max_steps": 400,
614
+ "num_input_tokens_seen": 0,
615
+ "num_train_epochs": 1,
616
+ "save_steps": 500,
617
+ "stateful_callbacks": {
618
+ "TrainerControl": {
619
+ "args": {
620
+ "should_epoch_stop": false,
621
+ "should_evaluate": false,
622
+ "should_log": false,
623
+ "should_save": true,
624
+ "should_training_stop": true
625
+ },
626
+ "attributes": {}
627
+ }
628
+ },
629
+ "total_flos": 100187325333504.0,
630
+ "train_batch_size": 2,
631
+ "trial_name": null,
632
+ "trial_params": null
633
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e8d305313c6233ef5af3f405572f0fde31e94f28b59197b74f176840fd563c9f
3
+ size 6776
last-checkpoint/vocab.json ADDED
The diff for this file is too large to render. See raw diff