mariusjabami commited on
Commit
4762022
·
verified ·
1 Parent(s): a66267a

Upload folder using huggingface_hub

Browse files
README.md CHANGED
@@ -1,3 +1,202 @@
1
- ---
2
- license: mit
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: nicholasKluge/TeenyTinyLlama-460m
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
adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "nicholasKluge/TeenyTinyLlama-460m",
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": 16,
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": 8,
24
+ "rank_pattern": {},
25
+ "revision": null,
26
+ "target_modules": [
27
+ "q_proj",
28
+ "v_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "trainable_token_indices": null,
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:29bb1cf9d39944c9cd7115354bc81c47baf1cf2a25b9b9f24f8c1419e83b0e5e
3
+ size 3158328
checkpoint-4100/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: nicholasKluge/TeenyTinyLlama-460m
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-4100/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "nicholasKluge/TeenyTinyLlama-460m",
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": 16,
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": 8,
24
+ "rank_pattern": {},
25
+ "revision": null,
26
+ "target_modules": [
27
+ "q_proj",
28
+ "v_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "trainable_token_indices": null,
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
checkpoint-4100/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5c282b0932b29fa8b31aa786af16ba0cd10d27d5804bae666827705c0b43b93f
3
+ size 3158328
checkpoint-4100/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:743fffc96dac65bc2bcd0e92d541672e259ac212868c6a9ecd7e1706bdc93e9e
3
+ size 6372346
checkpoint-4100/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:745713709acd4799b82fd9ea606d8eab39690fb80960e3173e95f7e77da8242c
3
+ size 14244
checkpoint-4100/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ba088f0440b02886ae6e3eaa7b8fe5ba89ebc28957f09854b9bb0baf82ed4239
3
+ size 988
checkpoint-4100/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9499e14cd005b1233c1db1452c631e4509e84fd9e2d8e2376d9c7a05ce6e5cab
3
+ size 1064
checkpoint-4100/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
+ }
checkpoint-4100/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-4100/tokenizer_config.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "3": {
31
+ "content": "<pad>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ }
38
+ },
39
+ "bos_token": "<s>",
40
+ "bos_token_id": 1,
41
+ "clean_up_tokenization_spaces": false,
42
+ "eos_token": "</s>",
43
+ "eos_token_id": 2,
44
+ "extra_special_tokens": {},
45
+ "legacy": false,
46
+ "model_max_length": 1000000000000000019884624838656,
47
+ "pad_token": "</s>",
48
+ "pad_token_id": 2,
49
+ "padding_side": "right",
50
+ "sp_model_kwargs": {},
51
+ "tokenizer_class": "LlamaTokenizerFast",
52
+ "unk_token": "<unk>",
53
+ "unk_token_id": 0,
54
+ "use_default_system_prompt": false
55
+ }
checkpoint-4100/trainer_state.json ADDED
@@ -0,0 +1,608 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 3.9196940726577436,
6
+ "eval_steps": 500,
7
+ "global_step": 4100,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.04780114722753346,
14
+ "grad_norm": 0.0546465665102005,
15
+ "learning_rate": 4.941443594646272e-05,
16
+ "loss": 2.2922,
17
+ "step": 50
18
+ },
19
+ {
20
+ "epoch": 0.09560229445506692,
21
+ "grad_norm": 0.08099879324436188,
22
+ "learning_rate": 4.881692160611855e-05,
23
+ "loss": 2.2658,
24
+ "step": 100
25
+ },
26
+ {
27
+ "epoch": 0.14340344168260039,
28
+ "grad_norm": 0.08135072886943817,
29
+ "learning_rate": 4.821940726577438e-05,
30
+ "loss": 2.1959,
31
+ "step": 150
32
+ },
33
+ {
34
+ "epoch": 0.19120458891013384,
35
+ "grad_norm": 0.08765063434839249,
36
+ "learning_rate": 4.7621892925430214e-05,
37
+ "loss": 2.1285,
38
+ "step": 200
39
+ },
40
+ {
41
+ "epoch": 0.2390057361376673,
42
+ "grad_norm": 0.10307478904724121,
43
+ "learning_rate": 4.7024378585086046e-05,
44
+ "loss": 2.0899,
45
+ "step": 250
46
+ },
47
+ {
48
+ "epoch": 0.28680688336520077,
49
+ "grad_norm": 0.10948552936315536,
50
+ "learning_rate": 4.642686424474187e-05,
51
+ "loss": 2.0663,
52
+ "step": 300
53
+ },
54
+ {
55
+ "epoch": 0.33460803059273425,
56
+ "grad_norm": 0.1135614812374115,
57
+ "learning_rate": 4.5829349904397704e-05,
58
+ "loss": 2.0508,
59
+ "step": 350
60
+ },
61
+ {
62
+ "epoch": 0.3824091778202677,
63
+ "grad_norm": 0.12696176767349243,
64
+ "learning_rate": 4.5231835564053536e-05,
65
+ "loss": 1.9819,
66
+ "step": 400
67
+ },
68
+ {
69
+ "epoch": 0.43021032504780116,
70
+ "grad_norm": 0.13437969982624054,
71
+ "learning_rate": 4.463432122370937e-05,
72
+ "loss": 2.0004,
73
+ "step": 450
74
+ },
75
+ {
76
+ "epoch": 0.4780114722753346,
77
+ "grad_norm": 0.1275995969772339,
78
+ "learning_rate": 4.40368068833652e-05,
79
+ "loss": 1.9961,
80
+ "step": 500
81
+ },
82
+ {
83
+ "epoch": 0.5258126195028681,
84
+ "grad_norm": 0.14496305584907532,
85
+ "learning_rate": 4.343929254302104e-05,
86
+ "loss": 1.9855,
87
+ "step": 550
88
+ },
89
+ {
90
+ "epoch": 0.5736137667304015,
91
+ "grad_norm": 0.13401177525520325,
92
+ "learning_rate": 4.284177820267687e-05,
93
+ "loss": 1.976,
94
+ "step": 600
95
+ },
96
+ {
97
+ "epoch": 0.621414913957935,
98
+ "grad_norm": 0.15063685178756714,
99
+ "learning_rate": 4.2244263862332704e-05,
100
+ "loss": 1.9428,
101
+ "step": 650
102
+ },
103
+ {
104
+ "epoch": 0.6692160611854685,
105
+ "grad_norm": 0.1525646150112152,
106
+ "learning_rate": 4.164674952198853e-05,
107
+ "loss": 1.9565,
108
+ "step": 700
109
+ },
110
+ {
111
+ "epoch": 0.7170172084130019,
112
+ "grad_norm": 0.1553465574979782,
113
+ "learning_rate": 4.104923518164436e-05,
114
+ "loss": 1.9499,
115
+ "step": 750
116
+ },
117
+ {
118
+ "epoch": 0.7648183556405354,
119
+ "grad_norm": 0.178068146109581,
120
+ "learning_rate": 4.0451720841300193e-05,
121
+ "loss": 1.9342,
122
+ "step": 800
123
+ },
124
+ {
125
+ "epoch": 0.8126195028680688,
126
+ "grad_norm": 0.16074113547801971,
127
+ "learning_rate": 3.9854206500956026e-05,
128
+ "loss": 1.9304,
129
+ "step": 850
130
+ },
131
+ {
132
+ "epoch": 0.8604206500956023,
133
+ "grad_norm": 0.17012304067611694,
134
+ "learning_rate": 3.925669216061186e-05,
135
+ "loss": 1.9358,
136
+ "step": 900
137
+ },
138
+ {
139
+ "epoch": 0.9082217973231358,
140
+ "grad_norm": 0.1635637879371643,
141
+ "learning_rate": 3.865917782026769e-05,
142
+ "loss": 1.9145,
143
+ "step": 950
144
+ },
145
+ {
146
+ "epoch": 0.9560229445506692,
147
+ "grad_norm": 0.18287719786167145,
148
+ "learning_rate": 3.806166347992352e-05,
149
+ "loss": 1.9186,
150
+ "step": 1000
151
+ },
152
+ {
153
+ "epoch": 1.0038240917782026,
154
+ "grad_norm": 0.18034423887729645,
155
+ "learning_rate": 3.7464149139579354e-05,
156
+ "loss": 1.8995,
157
+ "step": 1050
158
+ },
159
+ {
160
+ "epoch": 1.0516252390057361,
161
+ "grad_norm": 0.16354230046272278,
162
+ "learning_rate": 3.6866634799235186e-05,
163
+ "loss": 1.9068,
164
+ "step": 1100
165
+ },
166
+ {
167
+ "epoch": 1.0994263862332696,
168
+ "grad_norm": 0.236989825963974,
169
+ "learning_rate": 3.626912045889101e-05,
170
+ "loss": 1.9141,
171
+ "step": 1150
172
+ },
173
+ {
174
+ "epoch": 1.147227533460803,
175
+ "grad_norm": 0.2356785088777542,
176
+ "learning_rate": 3.5671606118546844e-05,
177
+ "loss": 1.9088,
178
+ "step": 1200
179
+ },
180
+ {
181
+ "epoch": 1.1950286806883366,
182
+ "grad_norm": 0.1805247962474823,
183
+ "learning_rate": 3.5074091778202676e-05,
184
+ "loss": 1.8923,
185
+ "step": 1250
186
+ },
187
+ {
188
+ "epoch": 1.24282982791587,
189
+ "grad_norm": 0.21303710341453552,
190
+ "learning_rate": 3.447657743785851e-05,
191
+ "loss": 1.898,
192
+ "step": 1300
193
+ },
194
+ {
195
+ "epoch": 1.2906309751434035,
196
+ "grad_norm": 0.18716047704219818,
197
+ "learning_rate": 3.387906309751434e-05,
198
+ "loss": 1.8986,
199
+ "step": 1350
200
+ },
201
+ {
202
+ "epoch": 1.338432122370937,
203
+ "grad_norm": 0.16454172134399414,
204
+ "learning_rate": 3.328154875717017e-05,
205
+ "loss": 1.9149,
206
+ "step": 1400
207
+ },
208
+ {
209
+ "epoch": 1.3862332695984705,
210
+ "grad_norm": 0.18206411600112915,
211
+ "learning_rate": 3.2684034416826005e-05,
212
+ "loss": 1.8662,
213
+ "step": 1450
214
+ },
215
+ {
216
+ "epoch": 1.4340344168260037,
217
+ "grad_norm": 0.19803249835968018,
218
+ "learning_rate": 3.208652007648184e-05,
219
+ "loss": 1.9015,
220
+ "step": 1500
221
+ },
222
+ {
223
+ "epoch": 1.4818355640535372,
224
+ "grad_norm": 0.19260399043560028,
225
+ "learning_rate": 3.148900573613767e-05,
226
+ "loss": 1.905,
227
+ "step": 1550
228
+ },
229
+ {
230
+ "epoch": 1.5296367112810707,
231
+ "grad_norm": 0.20765070617198944,
232
+ "learning_rate": 3.08914913957935e-05,
233
+ "loss": 1.8981,
234
+ "step": 1600
235
+ },
236
+ {
237
+ "epoch": 1.5774378585086042,
238
+ "grad_norm": 0.1981675922870636,
239
+ "learning_rate": 3.029397705544933e-05,
240
+ "loss": 1.8957,
241
+ "step": 1650
242
+ },
243
+ {
244
+ "epoch": 1.6252390057361377,
245
+ "grad_norm": 0.19996145367622375,
246
+ "learning_rate": 2.9696462715105166e-05,
247
+ "loss": 1.8797,
248
+ "step": 1700
249
+ },
250
+ {
251
+ "epoch": 1.6730401529636711,
252
+ "grad_norm": 0.21547172963619232,
253
+ "learning_rate": 2.9098948374760998e-05,
254
+ "loss": 1.8919,
255
+ "step": 1750
256
+ },
257
+ {
258
+ "epoch": 1.7208413001912046,
259
+ "grad_norm": 0.21214577555656433,
260
+ "learning_rate": 2.850143403441683e-05,
261
+ "loss": 1.8942,
262
+ "step": 1800
263
+ },
264
+ {
265
+ "epoch": 1.7686424474187379,
266
+ "grad_norm": 0.19430747628211975,
267
+ "learning_rate": 2.7903919694072662e-05,
268
+ "loss": 1.8744,
269
+ "step": 1850
270
+ },
271
+ {
272
+ "epoch": 1.8164435946462714,
273
+ "grad_norm": 0.20672687888145447,
274
+ "learning_rate": 2.730640535372849e-05,
275
+ "loss": 1.8784,
276
+ "step": 1900
277
+ },
278
+ {
279
+ "epoch": 1.8642447418738048,
280
+ "grad_norm": 0.204985573887825,
281
+ "learning_rate": 2.6708891013384323e-05,
282
+ "loss": 1.8902,
283
+ "step": 1950
284
+ },
285
+ {
286
+ "epoch": 1.9120458891013383,
287
+ "grad_norm": 0.20450404286384583,
288
+ "learning_rate": 2.6111376673040155e-05,
289
+ "loss": 1.8649,
290
+ "step": 2000
291
+ },
292
+ {
293
+ "epoch": 1.9598470363288718,
294
+ "grad_norm": 0.20468485355377197,
295
+ "learning_rate": 2.5513862332695987e-05,
296
+ "loss": 1.8899,
297
+ "step": 2050
298
+ },
299
+ {
300
+ "epoch": 2.0076481835564053,
301
+ "grad_norm": 0.206816628575325,
302
+ "learning_rate": 2.491634799235182e-05,
303
+ "loss": 1.8607,
304
+ "step": 2100
305
+ },
306
+ {
307
+ "epoch": 2.0554493307839388,
308
+ "grad_norm": 0.2078491896390915,
309
+ "learning_rate": 2.431883365200765e-05,
310
+ "loss": 1.8737,
311
+ "step": 2150
312
+ },
313
+ {
314
+ "epoch": 2.1032504780114722,
315
+ "grad_norm": 0.19321344792842865,
316
+ "learning_rate": 2.372131931166348e-05,
317
+ "loss": 1.8597,
318
+ "step": 2200
319
+ },
320
+ {
321
+ "epoch": 2.1510516252390057,
322
+ "grad_norm": 0.22135953605175018,
323
+ "learning_rate": 2.3123804971319313e-05,
324
+ "loss": 1.88,
325
+ "step": 2250
326
+ },
327
+ {
328
+ "epoch": 2.198852772466539,
329
+ "grad_norm": 0.20404009521007538,
330
+ "learning_rate": 2.2526290630975145e-05,
331
+ "loss": 1.8908,
332
+ "step": 2300
333
+ },
334
+ {
335
+ "epoch": 2.2466539196940727,
336
+ "grad_norm": 0.21296437084674835,
337
+ "learning_rate": 2.1928776290630977e-05,
338
+ "loss": 1.8632,
339
+ "step": 2350
340
+ },
341
+ {
342
+ "epoch": 2.294455066921606,
343
+ "grad_norm": 0.2082318514585495,
344
+ "learning_rate": 2.1331261950286806e-05,
345
+ "loss": 1.8819,
346
+ "step": 2400
347
+ },
348
+ {
349
+ "epoch": 2.3422562141491396,
350
+ "grad_norm": 0.2119467705488205,
351
+ "learning_rate": 2.0733747609942638e-05,
352
+ "loss": 1.8679,
353
+ "step": 2450
354
+ },
355
+ {
356
+ "epoch": 2.390057361376673,
357
+ "grad_norm": 0.2162160575389862,
358
+ "learning_rate": 2.013623326959847e-05,
359
+ "loss": 1.8698,
360
+ "step": 2500
361
+ },
362
+ {
363
+ "epoch": 2.4378585086042066,
364
+ "grad_norm": 0.19639310240745544,
365
+ "learning_rate": 1.9538718929254306e-05,
366
+ "loss": 1.8808,
367
+ "step": 2550
368
+ },
369
+ {
370
+ "epoch": 2.48565965583174,
371
+ "grad_norm": 0.2149832397699356,
372
+ "learning_rate": 1.8941204588910135e-05,
373
+ "loss": 1.8743,
374
+ "step": 2600
375
+ },
376
+ {
377
+ "epoch": 2.5334608030592736,
378
+ "grad_norm": 0.20657892525196075,
379
+ "learning_rate": 1.8343690248565967e-05,
380
+ "loss": 1.8611,
381
+ "step": 2650
382
+ },
383
+ {
384
+ "epoch": 2.581261950286807,
385
+ "grad_norm": 0.22579824924468994,
386
+ "learning_rate": 1.77461759082218e-05,
387
+ "loss": 1.8834,
388
+ "step": 2700
389
+ },
390
+ {
391
+ "epoch": 2.62906309751434,
392
+ "grad_norm": 0.214285746216774,
393
+ "learning_rate": 1.714866156787763e-05,
394
+ "loss": 1.8712,
395
+ "step": 2750
396
+ },
397
+ {
398
+ "epoch": 2.676864244741874,
399
+ "grad_norm": 0.2056400179862976,
400
+ "learning_rate": 1.6551147227533463e-05,
401
+ "loss": 1.8515,
402
+ "step": 2800
403
+ },
404
+ {
405
+ "epoch": 2.724665391969407,
406
+ "grad_norm": 0.21018265187740326,
407
+ "learning_rate": 1.5953632887189292e-05,
408
+ "loss": 1.8537,
409
+ "step": 2850
410
+ },
411
+ {
412
+ "epoch": 2.772466539196941,
413
+ "grad_norm": 0.1982487589120865,
414
+ "learning_rate": 1.5356118546845124e-05,
415
+ "loss": 1.8637,
416
+ "step": 2900
417
+ },
418
+ {
419
+ "epoch": 2.820267686424474,
420
+ "grad_norm": 0.22870182991027832,
421
+ "learning_rate": 1.4758604206500956e-05,
422
+ "loss": 1.857,
423
+ "step": 2950
424
+ },
425
+ {
426
+ "epoch": 2.8680688336520075,
427
+ "grad_norm": 0.2098233997821808,
428
+ "learning_rate": 1.4161089866156787e-05,
429
+ "loss": 1.8433,
430
+ "step": 3000
431
+ },
432
+ {
433
+ "epoch": 2.915869980879541,
434
+ "grad_norm": 0.23259004950523376,
435
+ "learning_rate": 1.3563575525812619e-05,
436
+ "loss": 1.8934,
437
+ "step": 3050
438
+ },
439
+ {
440
+ "epoch": 2.9636711281070744,
441
+ "grad_norm": 0.2191799432039261,
442
+ "learning_rate": 1.2966061185468451e-05,
443
+ "loss": 1.8603,
444
+ "step": 3100
445
+ },
446
+ {
447
+ "epoch": 3.011472275334608,
448
+ "grad_norm": 0.21849119663238525,
449
+ "learning_rate": 1.2368546845124283e-05,
450
+ "loss": 1.8603,
451
+ "step": 3150
452
+ },
453
+ {
454
+ "epoch": 3.0592734225621414,
455
+ "grad_norm": 0.22140590846538544,
456
+ "learning_rate": 1.1771032504780115e-05,
457
+ "loss": 1.8696,
458
+ "step": 3200
459
+ },
460
+ {
461
+ "epoch": 3.107074569789675,
462
+ "grad_norm": 0.2533087432384491,
463
+ "learning_rate": 1.1173518164435948e-05,
464
+ "loss": 1.8491,
465
+ "step": 3250
466
+ },
467
+ {
468
+ "epoch": 3.1548757170172084,
469
+ "grad_norm": 0.22291821241378784,
470
+ "learning_rate": 1.057600382409178e-05,
471
+ "loss": 1.8664,
472
+ "step": 3300
473
+ },
474
+ {
475
+ "epoch": 3.202676864244742,
476
+ "grad_norm": 0.23389829695224762,
477
+ "learning_rate": 9.97848948374761e-06,
478
+ "loss": 1.8633,
479
+ "step": 3350
480
+ },
481
+ {
482
+ "epoch": 3.2504780114722753,
483
+ "grad_norm": 0.2284611165523529,
484
+ "learning_rate": 9.380975143403442e-06,
485
+ "loss": 1.8739,
486
+ "step": 3400
487
+ },
488
+ {
489
+ "epoch": 3.298279158699809,
490
+ "grad_norm": 0.2357141673564911,
491
+ "learning_rate": 8.783460803059273e-06,
492
+ "loss": 1.8837,
493
+ "step": 3450
494
+ },
495
+ {
496
+ "epoch": 3.3460803059273423,
497
+ "grad_norm": 0.23133474588394165,
498
+ "learning_rate": 8.185946462715105e-06,
499
+ "loss": 1.8284,
500
+ "step": 3500
501
+ },
502
+ {
503
+ "epoch": 3.3938814531548758,
504
+ "grad_norm": 0.24003466963768005,
505
+ "learning_rate": 7.588432122370938e-06,
506
+ "loss": 1.8557,
507
+ "step": 3550
508
+ },
509
+ {
510
+ "epoch": 3.4416826003824093,
511
+ "grad_norm": 0.22754019498825073,
512
+ "learning_rate": 6.990917782026769e-06,
513
+ "loss": 1.8726,
514
+ "step": 3600
515
+ },
516
+ {
517
+ "epoch": 3.4894837476099427,
518
+ "grad_norm": 0.24840685725212097,
519
+ "learning_rate": 6.393403441682601e-06,
520
+ "loss": 1.8683,
521
+ "step": 3650
522
+ },
523
+ {
524
+ "epoch": 3.537284894837476,
525
+ "grad_norm": 0.23282456398010254,
526
+ "learning_rate": 5.795889101338432e-06,
527
+ "loss": 1.8624,
528
+ "step": 3700
529
+ },
530
+ {
531
+ "epoch": 3.5850860420650097,
532
+ "grad_norm": 0.22449611127376556,
533
+ "learning_rate": 5.198374760994264e-06,
534
+ "loss": 1.8355,
535
+ "step": 3750
536
+ },
537
+ {
538
+ "epoch": 3.632887189292543,
539
+ "grad_norm": 0.22073350846767426,
540
+ "learning_rate": 4.6008604206500955e-06,
541
+ "loss": 1.8706,
542
+ "step": 3800
543
+ },
544
+ {
545
+ "epoch": 3.6806883365200767,
546
+ "grad_norm": 0.2504482567310333,
547
+ "learning_rate": 4.003346080305928e-06,
548
+ "loss": 1.8607,
549
+ "step": 3850
550
+ },
551
+ {
552
+ "epoch": 3.7284894837476097,
553
+ "grad_norm": 0.23835700750350952,
554
+ "learning_rate": 3.4058317399617594e-06,
555
+ "loss": 1.8495,
556
+ "step": 3900
557
+ },
558
+ {
559
+ "epoch": 3.7762906309751436,
560
+ "grad_norm": 0.2028919905424118,
561
+ "learning_rate": 2.808317399617591e-06,
562
+ "loss": 1.8423,
563
+ "step": 3950
564
+ },
565
+ {
566
+ "epoch": 3.8240917782026767,
567
+ "grad_norm": 0.23366276919841766,
568
+ "learning_rate": 2.210803059273423e-06,
569
+ "loss": 1.8431,
570
+ "step": 4000
571
+ },
572
+ {
573
+ "epoch": 3.8718929254302106,
574
+ "grad_norm": 0.261652410030365,
575
+ "learning_rate": 1.6132887189292542e-06,
576
+ "loss": 1.8639,
577
+ "step": 4050
578
+ },
579
+ {
580
+ "epoch": 3.9196940726577436,
581
+ "grad_norm": 0.2397291362285614,
582
+ "learning_rate": 1.015774378585086e-06,
583
+ "loss": 1.8626,
584
+ "step": 4100
585
+ }
586
+ ],
587
+ "logging_steps": 50,
588
+ "max_steps": 4184,
589
+ "num_input_tokens_seen": 0,
590
+ "num_train_epochs": 4,
591
+ "save_steps": 100,
592
+ "stateful_callbacks": {
593
+ "TrainerControl": {
594
+ "args": {
595
+ "should_epoch_stop": false,
596
+ "should_evaluate": false,
597
+ "should_log": false,
598
+ "should_save": true,
599
+ "should_training_stop": false
600
+ },
601
+ "attributes": {}
602
+ }
603
+ },
604
+ "total_flos": 5.491537700349542e+16,
605
+ "train_batch_size": 10,
606
+ "trial_name": null,
607
+ "trial_params": null
608
+ }
checkpoint-4100/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bec7d7bd83c5b26e151b0650a8fa8ee73fdf56557e6c010410b27314702d49b2
3
+ size 5304
checkpoint-4184/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: nicholasKluge/TeenyTinyLlama-460m
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-4184/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "nicholasKluge/TeenyTinyLlama-460m",
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": 16,
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": 8,
24
+ "rank_pattern": {},
25
+ "revision": null,
26
+ "target_modules": [
27
+ "q_proj",
28
+ "v_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "trainable_token_indices": null,
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
checkpoint-4184/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:29bb1cf9d39944c9cd7115354bc81c47baf1cf2a25b9b9f24f8c1419e83b0e5e
3
+ size 3158328
checkpoint-4184/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bbd2782ae295435589c68f88b1ca31e9826f1e18a0e02f4753ca99bbc6d0f197
3
+ size 6372346
checkpoint-4184/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a2ea0d3bc88ebfaa8b26afbd8c644e33decfa843aa31af24e832b6faee63261d
3
+ size 14244
checkpoint-4184/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ecc38c7e74cd28fb3ef3b8ec21de9879422e35953ee9fac23cbbf13af21342e
3
+ size 988
checkpoint-4184/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:51ae83e6e5f81858e925ff02fdc609786471e9332dd3e08b34061492b3825938
3
+ size 1064
checkpoint-4184/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
+ }
checkpoint-4184/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-4184/tokenizer_config.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "3": {
31
+ "content": "<pad>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ }
38
+ },
39
+ "bos_token": "<s>",
40
+ "bos_token_id": 1,
41
+ "clean_up_tokenization_spaces": false,
42
+ "eos_token": "</s>",
43
+ "eos_token_id": 2,
44
+ "extra_special_tokens": {},
45
+ "legacy": false,
46
+ "model_max_length": 1000000000000000019884624838656,
47
+ "pad_token": "</s>",
48
+ "pad_token_id": 2,
49
+ "padding_side": "right",
50
+ "sp_model_kwargs": {},
51
+ "tokenizer_class": "LlamaTokenizerFast",
52
+ "unk_token": "<unk>",
53
+ "unk_token_id": 0,
54
+ "use_default_system_prompt": false
55
+ }
checkpoint-4184/trainer_state.json ADDED
@@ -0,0 +1,615 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 4.0,
6
+ "eval_steps": 500,
7
+ "global_step": 4184,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.04780114722753346,
14
+ "grad_norm": 0.0546465665102005,
15
+ "learning_rate": 4.941443594646272e-05,
16
+ "loss": 2.2922,
17
+ "step": 50
18
+ },
19
+ {
20
+ "epoch": 0.09560229445506692,
21
+ "grad_norm": 0.08099879324436188,
22
+ "learning_rate": 4.881692160611855e-05,
23
+ "loss": 2.2658,
24
+ "step": 100
25
+ },
26
+ {
27
+ "epoch": 0.14340344168260039,
28
+ "grad_norm": 0.08135072886943817,
29
+ "learning_rate": 4.821940726577438e-05,
30
+ "loss": 2.1959,
31
+ "step": 150
32
+ },
33
+ {
34
+ "epoch": 0.19120458891013384,
35
+ "grad_norm": 0.08765063434839249,
36
+ "learning_rate": 4.7621892925430214e-05,
37
+ "loss": 2.1285,
38
+ "step": 200
39
+ },
40
+ {
41
+ "epoch": 0.2390057361376673,
42
+ "grad_norm": 0.10307478904724121,
43
+ "learning_rate": 4.7024378585086046e-05,
44
+ "loss": 2.0899,
45
+ "step": 250
46
+ },
47
+ {
48
+ "epoch": 0.28680688336520077,
49
+ "grad_norm": 0.10948552936315536,
50
+ "learning_rate": 4.642686424474187e-05,
51
+ "loss": 2.0663,
52
+ "step": 300
53
+ },
54
+ {
55
+ "epoch": 0.33460803059273425,
56
+ "grad_norm": 0.1135614812374115,
57
+ "learning_rate": 4.5829349904397704e-05,
58
+ "loss": 2.0508,
59
+ "step": 350
60
+ },
61
+ {
62
+ "epoch": 0.3824091778202677,
63
+ "grad_norm": 0.12696176767349243,
64
+ "learning_rate": 4.5231835564053536e-05,
65
+ "loss": 1.9819,
66
+ "step": 400
67
+ },
68
+ {
69
+ "epoch": 0.43021032504780116,
70
+ "grad_norm": 0.13437969982624054,
71
+ "learning_rate": 4.463432122370937e-05,
72
+ "loss": 2.0004,
73
+ "step": 450
74
+ },
75
+ {
76
+ "epoch": 0.4780114722753346,
77
+ "grad_norm": 0.1275995969772339,
78
+ "learning_rate": 4.40368068833652e-05,
79
+ "loss": 1.9961,
80
+ "step": 500
81
+ },
82
+ {
83
+ "epoch": 0.5258126195028681,
84
+ "grad_norm": 0.14496305584907532,
85
+ "learning_rate": 4.343929254302104e-05,
86
+ "loss": 1.9855,
87
+ "step": 550
88
+ },
89
+ {
90
+ "epoch": 0.5736137667304015,
91
+ "grad_norm": 0.13401177525520325,
92
+ "learning_rate": 4.284177820267687e-05,
93
+ "loss": 1.976,
94
+ "step": 600
95
+ },
96
+ {
97
+ "epoch": 0.621414913957935,
98
+ "grad_norm": 0.15063685178756714,
99
+ "learning_rate": 4.2244263862332704e-05,
100
+ "loss": 1.9428,
101
+ "step": 650
102
+ },
103
+ {
104
+ "epoch": 0.6692160611854685,
105
+ "grad_norm": 0.1525646150112152,
106
+ "learning_rate": 4.164674952198853e-05,
107
+ "loss": 1.9565,
108
+ "step": 700
109
+ },
110
+ {
111
+ "epoch": 0.7170172084130019,
112
+ "grad_norm": 0.1553465574979782,
113
+ "learning_rate": 4.104923518164436e-05,
114
+ "loss": 1.9499,
115
+ "step": 750
116
+ },
117
+ {
118
+ "epoch": 0.7648183556405354,
119
+ "grad_norm": 0.178068146109581,
120
+ "learning_rate": 4.0451720841300193e-05,
121
+ "loss": 1.9342,
122
+ "step": 800
123
+ },
124
+ {
125
+ "epoch": 0.8126195028680688,
126
+ "grad_norm": 0.16074113547801971,
127
+ "learning_rate": 3.9854206500956026e-05,
128
+ "loss": 1.9304,
129
+ "step": 850
130
+ },
131
+ {
132
+ "epoch": 0.8604206500956023,
133
+ "grad_norm": 0.17012304067611694,
134
+ "learning_rate": 3.925669216061186e-05,
135
+ "loss": 1.9358,
136
+ "step": 900
137
+ },
138
+ {
139
+ "epoch": 0.9082217973231358,
140
+ "grad_norm": 0.1635637879371643,
141
+ "learning_rate": 3.865917782026769e-05,
142
+ "loss": 1.9145,
143
+ "step": 950
144
+ },
145
+ {
146
+ "epoch": 0.9560229445506692,
147
+ "grad_norm": 0.18287719786167145,
148
+ "learning_rate": 3.806166347992352e-05,
149
+ "loss": 1.9186,
150
+ "step": 1000
151
+ },
152
+ {
153
+ "epoch": 1.0038240917782026,
154
+ "grad_norm": 0.18034423887729645,
155
+ "learning_rate": 3.7464149139579354e-05,
156
+ "loss": 1.8995,
157
+ "step": 1050
158
+ },
159
+ {
160
+ "epoch": 1.0516252390057361,
161
+ "grad_norm": 0.16354230046272278,
162
+ "learning_rate": 3.6866634799235186e-05,
163
+ "loss": 1.9068,
164
+ "step": 1100
165
+ },
166
+ {
167
+ "epoch": 1.0994263862332696,
168
+ "grad_norm": 0.236989825963974,
169
+ "learning_rate": 3.626912045889101e-05,
170
+ "loss": 1.9141,
171
+ "step": 1150
172
+ },
173
+ {
174
+ "epoch": 1.147227533460803,
175
+ "grad_norm": 0.2356785088777542,
176
+ "learning_rate": 3.5671606118546844e-05,
177
+ "loss": 1.9088,
178
+ "step": 1200
179
+ },
180
+ {
181
+ "epoch": 1.1950286806883366,
182
+ "grad_norm": 0.1805247962474823,
183
+ "learning_rate": 3.5074091778202676e-05,
184
+ "loss": 1.8923,
185
+ "step": 1250
186
+ },
187
+ {
188
+ "epoch": 1.24282982791587,
189
+ "grad_norm": 0.21303710341453552,
190
+ "learning_rate": 3.447657743785851e-05,
191
+ "loss": 1.898,
192
+ "step": 1300
193
+ },
194
+ {
195
+ "epoch": 1.2906309751434035,
196
+ "grad_norm": 0.18716047704219818,
197
+ "learning_rate": 3.387906309751434e-05,
198
+ "loss": 1.8986,
199
+ "step": 1350
200
+ },
201
+ {
202
+ "epoch": 1.338432122370937,
203
+ "grad_norm": 0.16454172134399414,
204
+ "learning_rate": 3.328154875717017e-05,
205
+ "loss": 1.9149,
206
+ "step": 1400
207
+ },
208
+ {
209
+ "epoch": 1.3862332695984705,
210
+ "grad_norm": 0.18206411600112915,
211
+ "learning_rate": 3.2684034416826005e-05,
212
+ "loss": 1.8662,
213
+ "step": 1450
214
+ },
215
+ {
216
+ "epoch": 1.4340344168260037,
217
+ "grad_norm": 0.19803249835968018,
218
+ "learning_rate": 3.208652007648184e-05,
219
+ "loss": 1.9015,
220
+ "step": 1500
221
+ },
222
+ {
223
+ "epoch": 1.4818355640535372,
224
+ "grad_norm": 0.19260399043560028,
225
+ "learning_rate": 3.148900573613767e-05,
226
+ "loss": 1.905,
227
+ "step": 1550
228
+ },
229
+ {
230
+ "epoch": 1.5296367112810707,
231
+ "grad_norm": 0.20765070617198944,
232
+ "learning_rate": 3.08914913957935e-05,
233
+ "loss": 1.8981,
234
+ "step": 1600
235
+ },
236
+ {
237
+ "epoch": 1.5774378585086042,
238
+ "grad_norm": 0.1981675922870636,
239
+ "learning_rate": 3.029397705544933e-05,
240
+ "loss": 1.8957,
241
+ "step": 1650
242
+ },
243
+ {
244
+ "epoch": 1.6252390057361377,
245
+ "grad_norm": 0.19996145367622375,
246
+ "learning_rate": 2.9696462715105166e-05,
247
+ "loss": 1.8797,
248
+ "step": 1700
249
+ },
250
+ {
251
+ "epoch": 1.6730401529636711,
252
+ "grad_norm": 0.21547172963619232,
253
+ "learning_rate": 2.9098948374760998e-05,
254
+ "loss": 1.8919,
255
+ "step": 1750
256
+ },
257
+ {
258
+ "epoch": 1.7208413001912046,
259
+ "grad_norm": 0.21214577555656433,
260
+ "learning_rate": 2.850143403441683e-05,
261
+ "loss": 1.8942,
262
+ "step": 1800
263
+ },
264
+ {
265
+ "epoch": 1.7686424474187379,
266
+ "grad_norm": 0.19430747628211975,
267
+ "learning_rate": 2.7903919694072662e-05,
268
+ "loss": 1.8744,
269
+ "step": 1850
270
+ },
271
+ {
272
+ "epoch": 1.8164435946462714,
273
+ "grad_norm": 0.20672687888145447,
274
+ "learning_rate": 2.730640535372849e-05,
275
+ "loss": 1.8784,
276
+ "step": 1900
277
+ },
278
+ {
279
+ "epoch": 1.8642447418738048,
280
+ "grad_norm": 0.204985573887825,
281
+ "learning_rate": 2.6708891013384323e-05,
282
+ "loss": 1.8902,
283
+ "step": 1950
284
+ },
285
+ {
286
+ "epoch": 1.9120458891013383,
287
+ "grad_norm": 0.20450404286384583,
288
+ "learning_rate": 2.6111376673040155e-05,
289
+ "loss": 1.8649,
290
+ "step": 2000
291
+ },
292
+ {
293
+ "epoch": 1.9598470363288718,
294
+ "grad_norm": 0.20468485355377197,
295
+ "learning_rate": 2.5513862332695987e-05,
296
+ "loss": 1.8899,
297
+ "step": 2050
298
+ },
299
+ {
300
+ "epoch": 2.0076481835564053,
301
+ "grad_norm": 0.206816628575325,
302
+ "learning_rate": 2.491634799235182e-05,
303
+ "loss": 1.8607,
304
+ "step": 2100
305
+ },
306
+ {
307
+ "epoch": 2.0554493307839388,
308
+ "grad_norm": 0.2078491896390915,
309
+ "learning_rate": 2.431883365200765e-05,
310
+ "loss": 1.8737,
311
+ "step": 2150
312
+ },
313
+ {
314
+ "epoch": 2.1032504780114722,
315
+ "grad_norm": 0.19321344792842865,
316
+ "learning_rate": 2.372131931166348e-05,
317
+ "loss": 1.8597,
318
+ "step": 2200
319
+ },
320
+ {
321
+ "epoch": 2.1510516252390057,
322
+ "grad_norm": 0.22135953605175018,
323
+ "learning_rate": 2.3123804971319313e-05,
324
+ "loss": 1.88,
325
+ "step": 2250
326
+ },
327
+ {
328
+ "epoch": 2.198852772466539,
329
+ "grad_norm": 0.20404009521007538,
330
+ "learning_rate": 2.2526290630975145e-05,
331
+ "loss": 1.8908,
332
+ "step": 2300
333
+ },
334
+ {
335
+ "epoch": 2.2466539196940727,
336
+ "grad_norm": 0.21296437084674835,
337
+ "learning_rate": 2.1928776290630977e-05,
338
+ "loss": 1.8632,
339
+ "step": 2350
340
+ },
341
+ {
342
+ "epoch": 2.294455066921606,
343
+ "grad_norm": 0.2082318514585495,
344
+ "learning_rate": 2.1331261950286806e-05,
345
+ "loss": 1.8819,
346
+ "step": 2400
347
+ },
348
+ {
349
+ "epoch": 2.3422562141491396,
350
+ "grad_norm": 0.2119467705488205,
351
+ "learning_rate": 2.0733747609942638e-05,
352
+ "loss": 1.8679,
353
+ "step": 2450
354
+ },
355
+ {
356
+ "epoch": 2.390057361376673,
357
+ "grad_norm": 0.2162160575389862,
358
+ "learning_rate": 2.013623326959847e-05,
359
+ "loss": 1.8698,
360
+ "step": 2500
361
+ },
362
+ {
363
+ "epoch": 2.4378585086042066,
364
+ "grad_norm": 0.19639310240745544,
365
+ "learning_rate": 1.9538718929254306e-05,
366
+ "loss": 1.8808,
367
+ "step": 2550
368
+ },
369
+ {
370
+ "epoch": 2.48565965583174,
371
+ "grad_norm": 0.2149832397699356,
372
+ "learning_rate": 1.8941204588910135e-05,
373
+ "loss": 1.8743,
374
+ "step": 2600
375
+ },
376
+ {
377
+ "epoch": 2.5334608030592736,
378
+ "grad_norm": 0.20657892525196075,
379
+ "learning_rate": 1.8343690248565967e-05,
380
+ "loss": 1.8611,
381
+ "step": 2650
382
+ },
383
+ {
384
+ "epoch": 2.581261950286807,
385
+ "grad_norm": 0.22579824924468994,
386
+ "learning_rate": 1.77461759082218e-05,
387
+ "loss": 1.8834,
388
+ "step": 2700
389
+ },
390
+ {
391
+ "epoch": 2.62906309751434,
392
+ "grad_norm": 0.214285746216774,
393
+ "learning_rate": 1.714866156787763e-05,
394
+ "loss": 1.8712,
395
+ "step": 2750
396
+ },
397
+ {
398
+ "epoch": 2.676864244741874,
399
+ "grad_norm": 0.2056400179862976,
400
+ "learning_rate": 1.6551147227533463e-05,
401
+ "loss": 1.8515,
402
+ "step": 2800
403
+ },
404
+ {
405
+ "epoch": 2.724665391969407,
406
+ "grad_norm": 0.21018265187740326,
407
+ "learning_rate": 1.5953632887189292e-05,
408
+ "loss": 1.8537,
409
+ "step": 2850
410
+ },
411
+ {
412
+ "epoch": 2.772466539196941,
413
+ "grad_norm": 0.1982487589120865,
414
+ "learning_rate": 1.5356118546845124e-05,
415
+ "loss": 1.8637,
416
+ "step": 2900
417
+ },
418
+ {
419
+ "epoch": 2.820267686424474,
420
+ "grad_norm": 0.22870182991027832,
421
+ "learning_rate": 1.4758604206500956e-05,
422
+ "loss": 1.857,
423
+ "step": 2950
424
+ },
425
+ {
426
+ "epoch": 2.8680688336520075,
427
+ "grad_norm": 0.2098233997821808,
428
+ "learning_rate": 1.4161089866156787e-05,
429
+ "loss": 1.8433,
430
+ "step": 3000
431
+ },
432
+ {
433
+ "epoch": 2.915869980879541,
434
+ "grad_norm": 0.23259004950523376,
435
+ "learning_rate": 1.3563575525812619e-05,
436
+ "loss": 1.8934,
437
+ "step": 3050
438
+ },
439
+ {
440
+ "epoch": 2.9636711281070744,
441
+ "grad_norm": 0.2191799432039261,
442
+ "learning_rate": 1.2966061185468451e-05,
443
+ "loss": 1.8603,
444
+ "step": 3100
445
+ },
446
+ {
447
+ "epoch": 3.011472275334608,
448
+ "grad_norm": 0.21849119663238525,
449
+ "learning_rate": 1.2368546845124283e-05,
450
+ "loss": 1.8603,
451
+ "step": 3150
452
+ },
453
+ {
454
+ "epoch": 3.0592734225621414,
455
+ "grad_norm": 0.22140590846538544,
456
+ "learning_rate": 1.1771032504780115e-05,
457
+ "loss": 1.8696,
458
+ "step": 3200
459
+ },
460
+ {
461
+ "epoch": 3.107074569789675,
462
+ "grad_norm": 0.2533087432384491,
463
+ "learning_rate": 1.1173518164435948e-05,
464
+ "loss": 1.8491,
465
+ "step": 3250
466
+ },
467
+ {
468
+ "epoch": 3.1548757170172084,
469
+ "grad_norm": 0.22291821241378784,
470
+ "learning_rate": 1.057600382409178e-05,
471
+ "loss": 1.8664,
472
+ "step": 3300
473
+ },
474
+ {
475
+ "epoch": 3.202676864244742,
476
+ "grad_norm": 0.23389829695224762,
477
+ "learning_rate": 9.97848948374761e-06,
478
+ "loss": 1.8633,
479
+ "step": 3350
480
+ },
481
+ {
482
+ "epoch": 3.2504780114722753,
483
+ "grad_norm": 0.2284611165523529,
484
+ "learning_rate": 9.380975143403442e-06,
485
+ "loss": 1.8739,
486
+ "step": 3400
487
+ },
488
+ {
489
+ "epoch": 3.298279158699809,
490
+ "grad_norm": 0.2357141673564911,
491
+ "learning_rate": 8.783460803059273e-06,
492
+ "loss": 1.8837,
493
+ "step": 3450
494
+ },
495
+ {
496
+ "epoch": 3.3460803059273423,
497
+ "grad_norm": 0.23133474588394165,
498
+ "learning_rate": 8.185946462715105e-06,
499
+ "loss": 1.8284,
500
+ "step": 3500
501
+ },
502
+ {
503
+ "epoch": 3.3938814531548758,
504
+ "grad_norm": 0.24003466963768005,
505
+ "learning_rate": 7.588432122370938e-06,
506
+ "loss": 1.8557,
507
+ "step": 3550
508
+ },
509
+ {
510
+ "epoch": 3.4416826003824093,
511
+ "grad_norm": 0.22754019498825073,
512
+ "learning_rate": 6.990917782026769e-06,
513
+ "loss": 1.8726,
514
+ "step": 3600
515
+ },
516
+ {
517
+ "epoch": 3.4894837476099427,
518
+ "grad_norm": 0.24840685725212097,
519
+ "learning_rate": 6.393403441682601e-06,
520
+ "loss": 1.8683,
521
+ "step": 3650
522
+ },
523
+ {
524
+ "epoch": 3.537284894837476,
525
+ "grad_norm": 0.23282456398010254,
526
+ "learning_rate": 5.795889101338432e-06,
527
+ "loss": 1.8624,
528
+ "step": 3700
529
+ },
530
+ {
531
+ "epoch": 3.5850860420650097,
532
+ "grad_norm": 0.22449611127376556,
533
+ "learning_rate": 5.198374760994264e-06,
534
+ "loss": 1.8355,
535
+ "step": 3750
536
+ },
537
+ {
538
+ "epoch": 3.632887189292543,
539
+ "grad_norm": 0.22073350846767426,
540
+ "learning_rate": 4.6008604206500955e-06,
541
+ "loss": 1.8706,
542
+ "step": 3800
543
+ },
544
+ {
545
+ "epoch": 3.6806883365200767,
546
+ "grad_norm": 0.2504482567310333,
547
+ "learning_rate": 4.003346080305928e-06,
548
+ "loss": 1.8607,
549
+ "step": 3850
550
+ },
551
+ {
552
+ "epoch": 3.7284894837476097,
553
+ "grad_norm": 0.23835700750350952,
554
+ "learning_rate": 3.4058317399617594e-06,
555
+ "loss": 1.8495,
556
+ "step": 3900
557
+ },
558
+ {
559
+ "epoch": 3.7762906309751436,
560
+ "grad_norm": 0.2028919905424118,
561
+ "learning_rate": 2.808317399617591e-06,
562
+ "loss": 1.8423,
563
+ "step": 3950
564
+ },
565
+ {
566
+ "epoch": 3.8240917782026767,
567
+ "grad_norm": 0.23366276919841766,
568
+ "learning_rate": 2.210803059273423e-06,
569
+ "loss": 1.8431,
570
+ "step": 4000
571
+ },
572
+ {
573
+ "epoch": 3.8718929254302106,
574
+ "grad_norm": 0.261652410030365,
575
+ "learning_rate": 1.6132887189292542e-06,
576
+ "loss": 1.8639,
577
+ "step": 4050
578
+ },
579
+ {
580
+ "epoch": 3.9196940726577436,
581
+ "grad_norm": 0.2397291362285614,
582
+ "learning_rate": 1.015774378585086e-06,
583
+ "loss": 1.8626,
584
+ "step": 4100
585
+ },
586
+ {
587
+ "epoch": 3.967495219885277,
588
+ "grad_norm": 0.24784159660339355,
589
+ "learning_rate": 4.1826003824091784e-07,
590
+ "loss": 1.8817,
591
+ "step": 4150
592
+ }
593
+ ],
594
+ "logging_steps": 50,
595
+ "max_steps": 4184,
596
+ "num_input_tokens_seen": 0,
597
+ "num_train_epochs": 4,
598
+ "save_steps": 100,
599
+ "stateful_callbacks": {
600
+ "TrainerControl": {
601
+ "args": {
602
+ "should_epoch_stop": false,
603
+ "should_evaluate": false,
604
+ "should_log": false,
605
+ "should_save": true,
606
+ "should_training_stop": true
607
+ },
608
+ "attributes": {}
609
+ }
610
+ },
611
+ "total_flos": 5.603041003909939e+16,
612
+ "train_batch_size": 10,
613
+ "trial_name": null,
614
+ "trial_params": null
615
+ }
checkpoint-4184/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bec7d7bd83c5b26e151b0650a8fa8ee73fdf56557e6c010410b27314702d49b2
3
+ size 5304
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_config.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "3": {
31
+ "content": "<pad>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ }
38
+ },
39
+ "bos_token": "<s>",
40
+ "bos_token_id": 1,
41
+ "clean_up_tokenization_spaces": false,
42
+ "eos_token": "</s>",
43
+ "eos_token_id": 2,
44
+ "extra_special_tokens": {},
45
+ "legacy": false,
46
+ "model_max_length": 1000000000000000019884624838656,
47
+ "pad_token": "</s>",
48
+ "pad_token_id": 2,
49
+ "padding_side": "right",
50
+ "sp_model_kwargs": {},
51
+ "tokenizer_class": "LlamaTokenizerFast",
52
+ "unk_token": "<unk>",
53
+ "unk_token_id": 0,
54
+ "use_default_system_prompt": false
55
+ }