Adi362 commited on
Commit
b88ff1a
·
verified ·
1 Parent(s): e307d9e

Upload folder using huggingface_hub

Browse files
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 0.8.2
adapter_config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 32,
13
+ "lora_dropout": 0.05,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 16,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "o_proj",
23
+ "up_proj",
24
+ "gate_proj",
25
+ "v_proj",
26
+ "k_proj",
27
+ "down_proj",
28
+ "q_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "use_rslora": false
32
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:39e610fccaef0951fa7841d9dec1a9a912a5c3cc64037f26752a34daeea5d453
3
+ size 50503544
checkpoint-1500/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 0.8.2
checkpoint-1500/adapter_config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 32,
13
+ "lora_dropout": 0.05,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 16,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "o_proj",
23
+ "up_proj",
24
+ "gate_proj",
25
+ "v_proj",
26
+ "k_proj",
27
+ "down_proj",
28
+ "q_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "use_rslora": false
32
+ }
checkpoint-1500/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:738644013fb78ac3e01b90962b3028c8df1fffe43f9b1cddcaf845ba88ce787a
3
+ size 50503544
checkpoint-1500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fc4081b446b0ac4ce179163c06bb622b845e9169c29f3327c91dd967bca03e00
3
+ size 25634148
checkpoint-1500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c86bc5383ab5688c71711abba1ce918bd0d90c94519c967de6c0c9d5629781cd
3
+ size 14244
checkpoint-1500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:32ee99dc1243e276b78d54372ff16ebdaf7c8bf876ab4727a4be5d4df05f4c77
3
+ size 1064
checkpoint-1500/trainer_state.json ADDED
@@ -0,0 +1,231 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0240655401945724,
5
+ "eval_steps": 500,
6
+ "global_step": 1500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.03,
13
+ "grad_norm": 0.41249775886535645,
14
+ "learning_rate": 0.00011363636363636365,
15
+ "loss": 1.6991,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.07,
20
+ "grad_norm": 0.4261733889579773,
21
+ "learning_rate": 0.00019999118973067944,
22
+ "loss": 1.463,
23
+ "step": 100
24
+ },
25
+ {
26
+ "epoch": 0.1,
27
+ "grad_norm": 0.46912631392478943,
28
+ "learning_rate": 0.00019976490347667713,
29
+ "loss": 1.4387,
30
+ "step": 150
31
+ },
32
+ {
33
+ "epoch": 0.14,
34
+ "grad_norm": 0.4052003026008606,
35
+ "learning_rate": 0.00019923349759697913,
36
+ "loss": 1.4552,
37
+ "step": 200
38
+ },
39
+ {
40
+ "epoch": 0.17,
41
+ "grad_norm": 0.41492465138435364,
42
+ "learning_rate": 0.00019839859733610985,
43
+ "loss": 1.432,
44
+ "step": 250
45
+ },
46
+ {
47
+ "epoch": 0.2,
48
+ "grad_norm": 0.4481758177280426,
49
+ "learning_rate": 0.0001972627561416867,
50
+ "loss": 1.4365,
51
+ "step": 300
52
+ },
53
+ {
54
+ "epoch": 0.24,
55
+ "grad_norm": 0.5057295560836792,
56
+ "learning_rate": 0.00019582944785499073,
57
+ "loss": 1.4398,
58
+ "step": 350
59
+ },
60
+ {
61
+ "epoch": 0.27,
62
+ "grad_norm": 0.4403720796108246,
63
+ "learning_rate": 0.00019410305608661744,
64
+ "loss": 1.4236,
65
+ "step": 400
66
+ },
67
+ {
68
+ "epoch": 0.31,
69
+ "grad_norm": 0.4727613627910614,
70
+ "learning_rate": 0.00019208886080970187,
71
+ "loss": 1.4109,
72
+ "step": 450
73
+ },
74
+ {
75
+ "epoch": 0.34,
76
+ "grad_norm": 0.5325965285301208,
77
+ "learning_rate": 0.0001897930222117203,
78
+ "loss": 1.4556,
79
+ "step": 500
80
+ },
81
+ {
82
+ "epoch": 0.38,
83
+ "grad_norm": 0.5341053605079651,
84
+ "learning_rate": 0.00018722256185425655,
85
+ "loss": 1.426,
86
+ "step": 550
87
+ },
88
+ {
89
+ "epoch": 0.41,
90
+ "grad_norm": 0.6165050268173218,
91
+ "learning_rate": 0.00018438534119835363,
92
+ "loss": 1.3777,
93
+ "step": 600
94
+ },
95
+ {
96
+ "epoch": 0.44,
97
+ "grad_norm": 0.455497682094574,
98
+ "learning_rate": 0.0001812900375611279,
99
+ "loss": 1.4352,
100
+ "step": 650
101
+ },
102
+ {
103
+ "epoch": 0.48,
104
+ "grad_norm": 0.4459982216358185,
105
+ "learning_rate": 0.00017794611757718015,
106
+ "loss": 1.3917,
107
+ "step": 700
108
+ },
109
+ {
110
+ "epoch": 0.51,
111
+ "grad_norm": 0.488208144903183,
112
+ "learning_rate": 0.00017436380824596915,
113
+ "loss": 1.3801,
114
+ "step": 750
115
+ },
116
+ {
117
+ "epoch": 0.55,
118
+ "grad_norm": 0.6411360502243042,
119
+ "learning_rate": 0.00017055406565369532,
120
+ "loss": 1.4015,
121
+ "step": 800
122
+ },
123
+ {
124
+ "epoch": 0.58,
125
+ "grad_norm": 0.6391683220863342,
126
+ "learning_rate": 0.0001665285414653555,
127
+ "loss": 1.3578,
128
+ "step": 850
129
+ },
130
+ {
131
+ "epoch": 0.61,
132
+ "grad_norm": 0.4634678363800049,
133
+ "learning_rate": 0.00016229954728944895,
134
+ "loss": 1.3958,
135
+ "step": 900
136
+ },
137
+ {
138
+ "epoch": 0.65,
139
+ "grad_norm": 0.5685352087020874,
140
+ "learning_rate": 0.00015788001702432132,
141
+ "loss": 1.3824,
142
+ "step": 950
143
+ },
144
+ {
145
+ "epoch": 0.68,
146
+ "grad_norm": 0.48762017488479614,
147
+ "learning_rate": 0.0001532834673013053,
148
+ "loss": 1.3651,
149
+ "step": 1000
150
+ },
151
+ {
152
+ "epoch": 0.72,
153
+ "grad_norm": 0.4447900354862213,
154
+ "learning_rate": 0.00014852395614563935,
155
+ "loss": 1.3928,
156
+ "step": 1050
157
+ },
158
+ {
159
+ "epoch": 0.75,
160
+ "grad_norm": 0.5502452850341797,
161
+ "learning_rate": 0.00014361603998159388,
162
+ "loss": 1.3901,
163
+ "step": 1100
164
+ },
165
+ {
166
+ "epoch": 0.79,
167
+ "grad_norm": 0.5311463475227356,
168
+ "learning_rate": 0.00013857472911330131,
169
+ "loss": 1.3506,
170
+ "step": 1150
171
+ },
172
+ {
173
+ "epoch": 0.82,
174
+ "grad_norm": 0.5501254796981812,
175
+ "learning_rate": 0.0001334154418174456,
176
+ "loss": 1.3611,
177
+ "step": 1200
178
+ },
179
+ {
180
+ "epoch": 0.85,
181
+ "grad_norm": 0.6120589375495911,
182
+ "learning_rate": 0.00012815395718821415,
183
+ "loss": 1.3879,
184
+ "step": 1250
185
+ },
186
+ {
187
+ "epoch": 0.89,
188
+ "grad_norm": 0.6142286658287048,
189
+ "learning_rate": 0.0001228063668787309,
190
+ "loss": 1.3633,
191
+ "step": 1300
192
+ },
193
+ {
194
+ "epoch": 0.92,
195
+ "grad_norm": 0.610168993473053,
196
+ "learning_rate": 0.00011738902588656242,
197
+ "loss": 1.3522,
198
+ "step": 1350
199
+ },
200
+ {
201
+ "epoch": 0.96,
202
+ "grad_norm": 0.5812483429908752,
203
+ "learning_rate": 0.00011191850253381601,
204
+ "loss": 1.3938,
205
+ "step": 1400
206
+ },
207
+ {
208
+ "epoch": 0.99,
209
+ "grad_norm": 0.6008601784706116,
210
+ "learning_rate": 0.00010641152779480806,
211
+ "loss": 1.3396,
212
+ "step": 1450
213
+ },
214
+ {
215
+ "epoch": 1.02,
216
+ "grad_norm": 0.6404789686203003,
217
+ "learning_rate": 0.00010088494412627968,
218
+ "loss": 1.3007,
219
+ "step": 1500
220
+ }
221
+ ],
222
+ "logging_steps": 50,
223
+ "max_steps": 2928,
224
+ "num_input_tokens_seen": 0,
225
+ "num_train_epochs": 2,
226
+ "save_steps": 500,
227
+ "total_flos": 3.646597932955238e+16,
228
+ "train_batch_size": 1,
229
+ "trial_name": null,
230
+ "trial_params": null
231
+ }
checkpoint-1500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f0f91f13c0485a1e002a13a561b1c6751030b64ce8084d1a1fbe4199a23e1c9f
3
+ size 4856
checkpoint-2000/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 0.8.2
checkpoint-2000/adapter_config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 32,
13
+ "lora_dropout": 0.05,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 16,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "o_proj",
23
+ "up_proj",
24
+ "gate_proj",
25
+ "v_proj",
26
+ "k_proj",
27
+ "down_proj",
28
+ "q_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "use_rslora": false
32
+ }
checkpoint-2000/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24ea17f5c8e00f7a306cca7ebdec3a7965af5f7e04158d2c89657539f14e4dfb
3
+ size 50503544
checkpoint-2000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f850a66125de82ed6dbab55023aebc77199f05a5283b4d25e083ff9a152eb81f
3
+ size 25634148
checkpoint-2000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:75efad946676a837c0354f0f6de4e6a0678b6027b5a373f6d920f032963c681d
3
+ size 14244
checkpoint-2000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:092563bcbed62f0cdc98ebe4725b9b502e5d80b779b8a6cda0dd917588369872
3
+ size 1064
checkpoint-2000/trainer_state.json ADDED
@@ -0,0 +1,301 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.36542072025943,
5
+ "eval_steps": 500,
6
+ "global_step": 2000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.03,
13
+ "grad_norm": 0.41249775886535645,
14
+ "learning_rate": 0.00011363636363636365,
15
+ "loss": 1.6991,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.07,
20
+ "grad_norm": 0.4261733889579773,
21
+ "learning_rate": 0.00019999118973067944,
22
+ "loss": 1.463,
23
+ "step": 100
24
+ },
25
+ {
26
+ "epoch": 0.1,
27
+ "grad_norm": 0.46912631392478943,
28
+ "learning_rate": 0.00019976490347667713,
29
+ "loss": 1.4387,
30
+ "step": 150
31
+ },
32
+ {
33
+ "epoch": 0.14,
34
+ "grad_norm": 0.4052003026008606,
35
+ "learning_rate": 0.00019923349759697913,
36
+ "loss": 1.4552,
37
+ "step": 200
38
+ },
39
+ {
40
+ "epoch": 0.17,
41
+ "grad_norm": 0.41492465138435364,
42
+ "learning_rate": 0.00019839859733610985,
43
+ "loss": 1.432,
44
+ "step": 250
45
+ },
46
+ {
47
+ "epoch": 0.2,
48
+ "grad_norm": 0.4481758177280426,
49
+ "learning_rate": 0.0001972627561416867,
50
+ "loss": 1.4365,
51
+ "step": 300
52
+ },
53
+ {
54
+ "epoch": 0.24,
55
+ "grad_norm": 0.5057295560836792,
56
+ "learning_rate": 0.00019582944785499073,
57
+ "loss": 1.4398,
58
+ "step": 350
59
+ },
60
+ {
61
+ "epoch": 0.27,
62
+ "grad_norm": 0.4403720796108246,
63
+ "learning_rate": 0.00019410305608661744,
64
+ "loss": 1.4236,
65
+ "step": 400
66
+ },
67
+ {
68
+ "epoch": 0.31,
69
+ "grad_norm": 0.4727613627910614,
70
+ "learning_rate": 0.00019208886080970187,
71
+ "loss": 1.4109,
72
+ "step": 450
73
+ },
74
+ {
75
+ "epoch": 0.34,
76
+ "grad_norm": 0.5325965285301208,
77
+ "learning_rate": 0.0001897930222117203,
78
+ "loss": 1.4556,
79
+ "step": 500
80
+ },
81
+ {
82
+ "epoch": 0.38,
83
+ "grad_norm": 0.5341053605079651,
84
+ "learning_rate": 0.00018722256185425655,
85
+ "loss": 1.426,
86
+ "step": 550
87
+ },
88
+ {
89
+ "epoch": 0.41,
90
+ "grad_norm": 0.6165050268173218,
91
+ "learning_rate": 0.00018438534119835363,
92
+ "loss": 1.3777,
93
+ "step": 600
94
+ },
95
+ {
96
+ "epoch": 0.44,
97
+ "grad_norm": 0.455497682094574,
98
+ "learning_rate": 0.0001812900375611279,
99
+ "loss": 1.4352,
100
+ "step": 650
101
+ },
102
+ {
103
+ "epoch": 0.48,
104
+ "grad_norm": 0.4459982216358185,
105
+ "learning_rate": 0.00017794611757718015,
106
+ "loss": 1.3917,
107
+ "step": 700
108
+ },
109
+ {
110
+ "epoch": 0.51,
111
+ "grad_norm": 0.488208144903183,
112
+ "learning_rate": 0.00017436380824596915,
113
+ "loss": 1.3801,
114
+ "step": 750
115
+ },
116
+ {
117
+ "epoch": 0.55,
118
+ "grad_norm": 0.6411360502243042,
119
+ "learning_rate": 0.00017055406565369532,
120
+ "loss": 1.4015,
121
+ "step": 800
122
+ },
123
+ {
124
+ "epoch": 0.58,
125
+ "grad_norm": 0.6391683220863342,
126
+ "learning_rate": 0.0001665285414653555,
127
+ "loss": 1.3578,
128
+ "step": 850
129
+ },
130
+ {
131
+ "epoch": 0.61,
132
+ "grad_norm": 0.4634678363800049,
133
+ "learning_rate": 0.00016229954728944895,
134
+ "loss": 1.3958,
135
+ "step": 900
136
+ },
137
+ {
138
+ "epoch": 0.65,
139
+ "grad_norm": 0.5685352087020874,
140
+ "learning_rate": 0.00015788001702432132,
141
+ "loss": 1.3824,
142
+ "step": 950
143
+ },
144
+ {
145
+ "epoch": 0.68,
146
+ "grad_norm": 0.48762017488479614,
147
+ "learning_rate": 0.0001532834673013053,
148
+ "loss": 1.3651,
149
+ "step": 1000
150
+ },
151
+ {
152
+ "epoch": 0.72,
153
+ "grad_norm": 0.4447900354862213,
154
+ "learning_rate": 0.00014852395614563935,
155
+ "loss": 1.3928,
156
+ "step": 1050
157
+ },
158
+ {
159
+ "epoch": 0.75,
160
+ "grad_norm": 0.5502452850341797,
161
+ "learning_rate": 0.00014361603998159388,
162
+ "loss": 1.3901,
163
+ "step": 1100
164
+ },
165
+ {
166
+ "epoch": 0.79,
167
+ "grad_norm": 0.5311463475227356,
168
+ "learning_rate": 0.00013857472911330131,
169
+ "loss": 1.3506,
170
+ "step": 1150
171
+ },
172
+ {
173
+ "epoch": 0.82,
174
+ "grad_norm": 0.5501254796981812,
175
+ "learning_rate": 0.0001334154418174456,
176
+ "loss": 1.3611,
177
+ "step": 1200
178
+ },
179
+ {
180
+ "epoch": 0.85,
181
+ "grad_norm": 0.6120589375495911,
182
+ "learning_rate": 0.00012815395718821415,
183
+ "loss": 1.3879,
184
+ "step": 1250
185
+ },
186
+ {
187
+ "epoch": 0.89,
188
+ "grad_norm": 0.6142286658287048,
189
+ "learning_rate": 0.0001228063668787309,
190
+ "loss": 1.3633,
191
+ "step": 1300
192
+ },
193
+ {
194
+ "epoch": 0.92,
195
+ "grad_norm": 0.610168993473053,
196
+ "learning_rate": 0.00011738902588656242,
197
+ "loss": 1.3522,
198
+ "step": 1350
199
+ },
200
+ {
201
+ "epoch": 0.96,
202
+ "grad_norm": 0.5812483429908752,
203
+ "learning_rate": 0.00011191850253381601,
204
+ "loss": 1.3938,
205
+ "step": 1400
206
+ },
207
+ {
208
+ "epoch": 0.99,
209
+ "grad_norm": 0.6008601784706116,
210
+ "learning_rate": 0.00010641152779480806,
211
+ "loss": 1.3396,
212
+ "step": 1450
213
+ },
214
+ {
215
+ "epoch": 1.02,
216
+ "grad_norm": 0.6404789686203003,
217
+ "learning_rate": 0.00010088494412627968,
218
+ "loss": 1.3007,
219
+ "step": 1500
220
+ },
221
+ {
222
+ "epoch": 1.06,
223
+ "grad_norm": 0.6050863862037659,
224
+ "learning_rate": 9.535565395665562e-05,
225
+ "loss": 1.2374,
226
+ "step": 1550
227
+ },
228
+ {
229
+ "epoch": 1.09,
230
+ "grad_norm": 0.5933852195739746,
231
+ "learning_rate": 8.984056799188677e-05,
232
+ "loss": 1.2135,
233
+ "step": 1600
234
+ },
235
+ {
236
+ "epoch": 1.13,
237
+ "grad_norm": 0.7690561413764954,
238
+ "learning_rate": 8.435655349597689e-05,
239
+ "loss": 1.2479,
240
+ "step": 1650
241
+ },
242
+ {
243
+ "epoch": 1.16,
244
+ "grad_norm": 0.735683023929596,
245
+ "learning_rate": 7.892038270437153e-05,
246
+ "loss": 1.2115,
247
+ "step": 1700
248
+ },
249
+ {
250
+ "epoch": 1.19,
251
+ "grad_norm": 0.7068488597869873,
252
+ "learning_rate": 7.35486815279806e-05,
253
+ "loss": 1.2184,
254
+ "step": 1750
255
+ },
256
+ {
257
+ "epoch": 1.23,
258
+ "grad_norm": 0.821847677230835,
259
+ "learning_rate": 6.825787870471872e-05,
260
+ "loss": 1.2054,
261
+ "step": 1800
262
+ },
263
+ {
264
+ "epoch": 1.26,
265
+ "grad_norm": 0.7907322645187378,
266
+ "learning_rate": 6.30641555540761e-05,
267
+ "loss": 1.2289,
268
+ "step": 1850
269
+ },
270
+ {
271
+ "epoch": 1.3,
272
+ "grad_norm": 0.6236514449119568,
273
+ "learning_rate": 5.798339648839073e-05,
274
+ "loss": 1.2113,
275
+ "step": 1900
276
+ },
277
+ {
278
+ "epoch": 1.33,
279
+ "grad_norm": 0.6800610423088074,
280
+ "learning_rate": 5.303114043217771e-05,
281
+ "loss": 1.201,
282
+ "step": 1950
283
+ },
284
+ {
285
+ "epoch": 1.37,
286
+ "grad_norm": 0.6555848121643066,
287
+ "learning_rate": 4.8222533298093295e-05,
288
+ "loss": 1.2028,
289
+ "step": 2000
290
+ }
291
+ ],
292
+ "logging_steps": 50,
293
+ "max_steps": 2928,
294
+ "num_input_tokens_seen": 0,
295
+ "num_train_epochs": 2,
296
+ "save_steps": 500,
297
+ "total_flos": 4.863950904700109e+16,
298
+ "train_batch_size": 1,
299
+ "trial_name": null,
300
+ "trial_params": null
301
+ }
checkpoint-2000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f0f91f13c0485a1e002a13a561b1c6751030b64ce8084d1a1fbe4199a23e1c9f
3
+ size 4856
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<unk>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<s>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ }
29
+ },
30
+ "bos_token": "<s>",
31
+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
32
+ "clean_up_tokenization_spaces": false,
33
+ "eos_token": "</s>",
34
+ "legacy": false,
35
+ "model_max_length": 2048,
36
+ "pad_token": "</s>",
37
+ "padding_side": "right",
38
+ "sp_model_kwargs": {},
39
+ "tokenizer_class": "LlamaTokenizer",
40
+ "unk_token": "<unk>",
41
+ "use_default_system_prompt": false
42
+ }