Tryecho commited on
Commit
9b6cd85
1 Parent(s): ce77799

Upload 8 files

Browse files
README.md CHANGED
@@ -1,3 +1,204 @@
1
  ---
2
- license: mit
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ library_name: peft
3
+ base_model: mistralai/Mixtral-8x7B-v0.1
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
+
201
+
202
+ ### Framework versions
203
+
204
+ - PEFT 0.7.2.dev0
adapter_config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Mixtral-8x7B-v0.1",
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": 16,
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": 8,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "o_proj",
23
+ "w1",
24
+ "lm_head",
25
+ "w2",
26
+ "v_proj",
27
+ "k_proj",
28
+ "w3",
29
+ "q_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_rslora": false
33
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c4b50260d884e5824dc4f01b1c2a59ba319ad72a43e643945534ba18dac38bb
3
+ size 1005955192
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ee46d4d316b0890ca638eb52a984d1dab1d82c65f16e908584d8f324431d878e
3
+ size 243269534
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2f80ba0fe503ee7e7489af638645bdea7abd82a0d5e159ccf24167ad46239a01
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5fc861a47ce68de3c1f8fdb7433ac8edc96a66ee89e12bee48feced973c63ecc
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,277 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.47619047619047616,
5
+ "eval_steps": 20,
6
+ "global_step": 400,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.02,
13
+ "eval_loss": 1.0689338445663452,
14
+ "eval_runtime": 9.952,
15
+ "eval_samples_per_second": 3.818,
16
+ "eval_steps_per_second": 0.502,
17
+ "step": 20
18
+ },
19
+ {
20
+ "epoch": 0.03,
21
+ "learning_rate": 2.3734177215189873e-05,
22
+ "loss": 1.5255,
23
+ "step": 25
24
+ },
25
+ {
26
+ "epoch": 0.05,
27
+ "eval_loss": 0.8571718335151672,
28
+ "eval_runtime": 9.9124,
29
+ "eval_samples_per_second": 3.834,
30
+ "eval_steps_per_second": 0.504,
31
+ "step": 40
32
+ },
33
+ {
34
+ "epoch": 0.06,
35
+ "learning_rate": 2.2151898734177217e-05,
36
+ "loss": 0.9309,
37
+ "step": 50
38
+ },
39
+ {
40
+ "epoch": 0.07,
41
+ "eval_loss": 0.7807316780090332,
42
+ "eval_runtime": 9.9144,
43
+ "eval_samples_per_second": 3.833,
44
+ "eval_steps_per_second": 0.504,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.09,
49
+ "learning_rate": 2.056962025316456e-05,
50
+ "loss": 0.7794,
51
+ "step": 75
52
+ },
53
+ {
54
+ "epoch": 0.1,
55
+ "eval_loss": 0.7378336191177368,
56
+ "eval_runtime": 9.9203,
57
+ "eval_samples_per_second": 3.831,
58
+ "eval_steps_per_second": 0.504,
59
+ "step": 80
60
+ },
61
+ {
62
+ "epoch": 0.12,
63
+ "learning_rate": 1.89873417721519e-05,
64
+ "loss": 0.7628,
65
+ "step": 100
66
+ },
67
+ {
68
+ "epoch": 0.12,
69
+ "eval_loss": 0.7243497371673584,
70
+ "eval_runtime": 9.9102,
71
+ "eval_samples_per_second": 3.834,
72
+ "eval_steps_per_second": 0.505,
73
+ "step": 100
74
+ },
75
+ {
76
+ "epoch": 0.14,
77
+ "eval_loss": 0.7043508291244507,
78
+ "eval_runtime": 9.9123,
79
+ "eval_samples_per_second": 3.834,
80
+ "eval_steps_per_second": 0.504,
81
+ "step": 120
82
+ },
83
+ {
84
+ "epoch": 0.15,
85
+ "learning_rate": 1.7405063291139243e-05,
86
+ "loss": 0.7323,
87
+ "step": 125
88
+ },
89
+ {
90
+ "epoch": 0.17,
91
+ "eval_loss": 0.6957876086235046,
92
+ "eval_runtime": 9.9105,
93
+ "eval_samples_per_second": 3.834,
94
+ "eval_steps_per_second": 0.505,
95
+ "step": 140
96
+ },
97
+ {
98
+ "epoch": 0.18,
99
+ "learning_rate": 1.5822784810126583e-05,
100
+ "loss": 0.706,
101
+ "step": 150
102
+ },
103
+ {
104
+ "epoch": 0.19,
105
+ "eval_loss": 0.6854685544967651,
106
+ "eval_runtime": 9.9176,
107
+ "eval_samples_per_second": 3.832,
108
+ "eval_steps_per_second": 0.504,
109
+ "step": 160
110
+ },
111
+ {
112
+ "epoch": 0.21,
113
+ "learning_rate": 1.4240506329113925e-05,
114
+ "loss": 0.6974,
115
+ "step": 175
116
+ },
117
+ {
118
+ "epoch": 0.21,
119
+ "eval_loss": 0.6812862753868103,
120
+ "eval_runtime": 9.918,
121
+ "eval_samples_per_second": 3.831,
122
+ "eval_steps_per_second": 0.504,
123
+ "step": 180
124
+ },
125
+ {
126
+ "epoch": 0.24,
127
+ "learning_rate": 1.2658227848101267e-05,
128
+ "loss": 0.6823,
129
+ "step": 200
130
+ },
131
+ {
132
+ "epoch": 0.24,
133
+ "eval_loss": 0.6784127950668335,
134
+ "eval_runtime": 9.9087,
135
+ "eval_samples_per_second": 3.835,
136
+ "eval_steps_per_second": 0.505,
137
+ "step": 200
138
+ },
139
+ {
140
+ "epoch": 0.26,
141
+ "eval_loss": 0.6723252534866333,
142
+ "eval_runtime": 9.9104,
143
+ "eval_samples_per_second": 3.834,
144
+ "eval_steps_per_second": 0.505,
145
+ "step": 220
146
+ },
147
+ {
148
+ "epoch": 0.27,
149
+ "learning_rate": 1.1075949367088608e-05,
150
+ "loss": 0.6856,
151
+ "step": 225
152
+ },
153
+ {
154
+ "epoch": 0.29,
155
+ "eval_loss": 0.669580340385437,
156
+ "eval_runtime": 9.9088,
157
+ "eval_samples_per_second": 3.835,
158
+ "eval_steps_per_second": 0.505,
159
+ "step": 240
160
+ },
161
+ {
162
+ "epoch": 0.3,
163
+ "learning_rate": 9.49367088607595e-06,
164
+ "loss": 0.6857,
165
+ "step": 250
166
+ },
167
+ {
168
+ "epoch": 0.31,
169
+ "eval_loss": 0.6672892570495605,
170
+ "eval_runtime": 9.8865,
171
+ "eval_samples_per_second": 3.844,
172
+ "eval_steps_per_second": 0.506,
173
+ "step": 260
174
+ },
175
+ {
176
+ "epoch": 0.33,
177
+ "learning_rate": 7.911392405063292e-06,
178
+ "loss": 0.6915,
179
+ "step": 275
180
+ },
181
+ {
182
+ "epoch": 0.33,
183
+ "eval_loss": 0.6666972637176514,
184
+ "eval_runtime": 9.9103,
185
+ "eval_samples_per_second": 3.834,
186
+ "eval_steps_per_second": 0.505,
187
+ "step": 280
188
+ },
189
+ {
190
+ "epoch": 0.36,
191
+ "learning_rate": 6.329113924050633e-06,
192
+ "loss": 0.6685,
193
+ "step": 300
194
+ },
195
+ {
196
+ "epoch": 0.36,
197
+ "eval_loss": 0.6638540029525757,
198
+ "eval_runtime": 9.9153,
199
+ "eval_samples_per_second": 3.832,
200
+ "eval_steps_per_second": 0.504,
201
+ "step": 300
202
+ },
203
+ {
204
+ "epoch": 0.38,
205
+ "eval_loss": 0.6611661911010742,
206
+ "eval_runtime": 9.9319,
207
+ "eval_samples_per_second": 3.826,
208
+ "eval_steps_per_second": 0.503,
209
+ "step": 320
210
+ },
211
+ {
212
+ "epoch": 0.39,
213
+ "learning_rate": 4.746835443037975e-06,
214
+ "loss": 0.6759,
215
+ "step": 325
216
+ },
217
+ {
218
+ "epoch": 0.4,
219
+ "eval_loss": 0.658918559551239,
220
+ "eval_runtime": 9.9278,
221
+ "eval_samples_per_second": 3.828,
222
+ "eval_steps_per_second": 0.504,
223
+ "step": 340
224
+ },
225
+ {
226
+ "epoch": 0.42,
227
+ "learning_rate": 3.1645569620253167e-06,
228
+ "loss": 0.6682,
229
+ "step": 350
230
+ },
231
+ {
232
+ "epoch": 0.43,
233
+ "eval_loss": 0.6601454615592957,
234
+ "eval_runtime": 9.9146,
235
+ "eval_samples_per_second": 3.833,
236
+ "eval_steps_per_second": 0.504,
237
+ "step": 360
238
+ },
239
+ {
240
+ "epoch": 0.45,
241
+ "learning_rate": 1.5822784810126583e-06,
242
+ "loss": 0.6876,
243
+ "step": 375
244
+ },
245
+ {
246
+ "epoch": 0.45,
247
+ "eval_loss": 0.6586702466011047,
248
+ "eval_runtime": 9.9,
249
+ "eval_samples_per_second": 3.838,
250
+ "eval_steps_per_second": 0.505,
251
+ "step": 380
252
+ },
253
+ {
254
+ "epoch": 0.48,
255
+ "learning_rate": 0.0,
256
+ "loss": 0.6721,
257
+ "step": 400
258
+ },
259
+ {
260
+ "epoch": 0.48,
261
+ "eval_loss": 0.6582174897193909,
262
+ "eval_runtime": 9.916,
263
+ "eval_samples_per_second": 3.832,
264
+ "eval_steps_per_second": 0.504,
265
+ "step": 400
266
+ }
267
+ ],
268
+ "logging_steps": 25,
269
+ "max_steps": 400,
270
+ "num_input_tokens_seen": 0,
271
+ "num_train_epochs": 1,
272
+ "save_steps": 20,
273
+ "total_flos": 2.51016575975424e+17,
274
+ "train_batch_size": 2,
275
+ "trial_name": null,
276
+ "trial_params": null
277
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:151e5ea63fa245c12043d539494804f19b850ffc011d1283b07d441306cd6494
3
+ size 4664