dimasik1987 commited on
Commit
f7d42aa
1 Parent(s): b155c1b

Training in progress, step 25, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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": 32,
14
+ "lora_dropout": 0.1,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 16,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "up_proj",
24
+ "down_proj",
25
+ "q_proj",
26
+ "gate_proj",
27
+ "v_proj",
28
+ "k_proj",
29
+ "o_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
last-checkpoint/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b87dc101dec6f0fc1343d0396af09cac18725cdafb90552a639f0e29a779e6d
3
+ size 50503544
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3176fa429bd8643d209a97d68f1158c971dffe737c6ad71ac2d9c97c780c0b58
3
+ size 101184122
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b0a7e302a41792c44ea039707b71433d9da812d1438c7dbfb736b340f8668a2
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ea7ff16b0c30a914eb0d145e3fb06ff9027c6cd2408e766ce8a09accab89a4d
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
last-checkpoint/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ }
30
+ },
31
+ "bos_token": "<s>",
32
+ "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 %}",
33
+ "clean_up_tokenization_spaces": false,
34
+ "eos_token": "</s>",
35
+ "legacy": false,
36
+ "model_max_length": 2048,
37
+ "pad_token": "</s>",
38
+ "padding_side": "right",
39
+ "sp_model_kwargs": {},
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false
43
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.02120665889089174,
5
+ "eval_steps": 500,
6
+ "global_step": 25,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0008482663556356696,
13
+ "grad_norm": 14.401731491088867,
14
+ "learning_rate": 0.0001,
15
+ "loss": 6.023,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0016965327112713393,
20
+ "grad_norm": 12.187810897827148,
21
+ "learning_rate": 0.0002,
22
+ "loss": 5.9775,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.002544799066907009,
27
+ "grad_norm": 12.369268417358398,
28
+ "learning_rate": 0.00019978589232386035,
29
+ "loss": 5.4492,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.0033930654225426786,
34
+ "grad_norm": 11.223816871643066,
35
+ "learning_rate": 0.00019914448613738106,
36
+ "loss": 3.9348,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.004241331778178348,
41
+ "grad_norm": 9.1347074508667,
42
+ "learning_rate": 0.00019807852804032305,
43
+ "loss": 2.3093,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.005089598133814018,
48
+ "grad_norm": 6.055950164794922,
49
+ "learning_rate": 0.00019659258262890683,
50
+ "loss": 1.3156,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.0059378644894496875,
55
+ "grad_norm": 3.676882743835449,
56
+ "learning_rate": 0.0001946930129495106,
57
+ "loss": 1.0411,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.006786130845085357,
62
+ "grad_norm": 4.150704383850098,
63
+ "learning_rate": 0.0001923879532511287,
64
+ "loss": 0.8048,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.007634397200721026,
69
+ "grad_norm": 3.6138298511505127,
70
+ "learning_rate": 0.00018968727415326884,
71
+ "loss": 0.7477,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.008482663556356696,
76
+ "grad_norm": 2.753798484802246,
77
+ "learning_rate": 0.00018660254037844388,
78
+ "loss": 0.542,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.009330929911992365,
83
+ "grad_norm": 4.54025411605835,
84
+ "learning_rate": 0.00018314696123025454,
85
+ "loss": 0.496,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.010179196267628036,
90
+ "grad_norm": 13.51045036315918,
91
+ "learning_rate": 0.00017933533402912354,
92
+ "loss": 0.9441,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.011027462623263705,
97
+ "grad_norm": 14.223007202148438,
98
+ "learning_rate": 0.00017518398074789775,
99
+ "loss": 1.0033,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.011875728978899375,
104
+ "grad_norm": 2.892982006072998,
105
+ "learning_rate": 0.00017071067811865476,
106
+ "loss": 0.5323,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.012723995334535044,
111
+ "grad_norm": 4.61104154586792,
112
+ "learning_rate": 0.00016593458151000688,
113
+ "loss": 0.4663,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.013572261690170714,
118
+ "grad_norm": 2.2477262020111084,
119
+ "learning_rate": 0.00016087614290087208,
120
+ "loss": 0.4505,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.014420528045806383,
125
+ "grad_norm": 4.4651899337768555,
126
+ "learning_rate": 0.00015555702330196023,
127
+ "loss": 0.6104,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.015268794401442052,
132
+ "grad_norm": 2.236485004425049,
133
+ "learning_rate": 0.00015000000000000001,
134
+ "loss": 0.4329,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.016117060757077722,
139
+ "grad_norm": 3.9798102378845215,
140
+ "learning_rate": 0.00014422886902190014,
141
+ "loss": 0.5202,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.016965327112713393,
146
+ "grad_norm": 1.3175522089004517,
147
+ "learning_rate": 0.000138268343236509,
148
+ "loss": 0.4673,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.01781359346834906,
153
+ "grad_norm": 1.3106902837753296,
154
+ "learning_rate": 0.00013214394653031616,
155
+ "loss": 0.4498,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.01866185982398473,
160
+ "grad_norm": 1.7499768733978271,
161
+ "learning_rate": 0.00012588190451025207,
162
+ "loss": 0.4964,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.0195101261796204,
167
+ "grad_norm": 2.9013662338256836,
168
+ "learning_rate": 0.00011950903220161285,
169
+ "loss": 0.5628,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.02035839253525607,
174
+ "grad_norm": 0.665701687335968,
175
+ "learning_rate": 0.00011305261922200519,
176
+ "loss": 0.4783,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.02120665889089174,
181
+ "grad_norm": 0.7912172675132751,
182
+ "learning_rate": 0.00010654031292301432,
183
+ "loss": 0.4836,
184
+ "step": 25
185
+ }
186
+ ],
187
+ "logging_steps": 1,
188
+ "max_steps": 50,
189
+ "num_input_tokens_seen": 0,
190
+ "num_train_epochs": 1,
191
+ "save_steps": 25,
192
+ "stateful_callbacks": {
193
+ "TrainerControl": {
194
+ "args": {
195
+ "should_epoch_stop": false,
196
+ "should_evaluate": false,
197
+ "should_log": false,
198
+ "should_save": true,
199
+ "should_training_stop": false
200
+ },
201
+ "attributes": {}
202
+ }
203
+ },
204
+ "total_flos": 5146843860172800.0,
205
+ "train_batch_size": 2,
206
+ "trial_name": null,
207
+ "trial_params": null
208
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5cf979da302d0a746655cb9b375d2aaf6f5775579262fd4d71722db7b8f8674
3
+ size 6776