yoonjw0 commited on
Commit
4604bad
1 Parent(s): 8f2e7cd

Upload folder using huggingface_hub

Browse files
README.md CHANGED
@@ -1,5 +1,202 @@
1
  ---
2
- license: other
3
- license_name: yi-license
4
- license_link: LICENSE
5
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ library_name: peft
3
+ base_model: beomi/Yi-Ko-6B
 
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 0.9.1.dev0
adapter_config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "beomi/Yi-Ko-6B",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
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": 32,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "o_proj",
23
+ "k_proj",
24
+ "q_proj",
25
+ "up_proj",
26
+ "v_proj",
27
+ "gate_proj",
28
+ "down_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "use_dora": false,
32
+ "use_rslora": false
33
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7a2ecfa106a37b1678b69794cd093bbc85dce77b97a8eaaf0c606fbaaa59ab18
3
+ size 290515816
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20f9ecaa6eefd18fa11518439c9fc88df87d4192bb07fc547a9e406ba4346e18
3
+ size 146022996
rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:120cc0d35132bbf9283c21f962920625ab7dc90a1b7500ab93511e4e7f944278
3
+ size 15984
rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ad9209499cf534f510c5339be6cf06fbd7c855429bdb5310072eca675d924b6
3
+ size 15984
rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a644f6c3e41f6879d8f109d9c6dae33d4d6b078ffb6b7a31fbbc8a8e850d4f9
3
+ size 15984
rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6467f7a209ebb4e25e594aabb5bcbbb8bf227d3d8d06e860c8d13fbdd4969809
3
+ size 15984
rng_state_4.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd764a5c09aec49ba51d04e100a63bc1e9be1a53d3fb9c7f22af8fd98227f421
3
+ size 15984
rng_state_5.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ba0fa1331c639fa8350f92602b54a56aafb2f1c7b8e7795305374dd2365a89d4
3
+ size 15984
rng_state_6.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b8e959659d4719f5dd9335f07d157dc72642c59274a1bd2c124f850267fdb26c
3
+ size 15984
rng_state_7.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ba3ad97e1c828ca605b397d8d58e435eb1cdd472a511cacc71899354a7899150
3
+ size 15984
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e69e2b49ea642509f0c688c16fb190b7cf27dac0a18903a5e2d1467d0343d8b8
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,459 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.9845335483551025,
3
+ "best_model_checkpoint": "temp_debug/axolotl_outputs/model/checkpoint-35",
4
+ "epoch": 8.88888888888889,
5
+ "eval_steps": 5,
6
+ "global_step": 50,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.18,
13
+ "grad_norm": 0.09891793876886368,
14
+ "learning_rate": 2e-05,
15
+ "loss": 2.1801,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.18,
20
+ "eval_loss": 2.0421414375305176,
21
+ "eval_runtime": 5.3893,
22
+ "eval_samples_per_second": 14.844,
23
+ "eval_steps_per_second": 1.856,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.36,
28
+ "grad_norm": 0.09653851389884949,
29
+ "learning_rate": 4e-05,
30
+ "loss": 2.1696,
31
+ "step": 2
32
+ },
33
+ {
34
+ "epoch": 0.53,
35
+ "grad_norm": 0.09466348588466644,
36
+ "learning_rate": 6e-05,
37
+ "loss": 2.1678,
38
+ "step": 3
39
+ },
40
+ {
41
+ "epoch": 0.71,
42
+ "grad_norm": 0.0848536491394043,
43
+ "learning_rate": 8e-05,
44
+ "loss": 2.1566,
45
+ "step": 4
46
+ },
47
+ {
48
+ "epoch": 0.89,
49
+ "grad_norm": 0.07991650700569153,
50
+ "learning_rate": 0.0001,
51
+ "loss": 2.1988,
52
+ "step": 5
53
+ },
54
+ {
55
+ "epoch": 0.89,
56
+ "eval_loss": 2.0347237586975098,
57
+ "eval_runtime": 5.3587,
58
+ "eval_samples_per_second": 14.929,
59
+ "eval_steps_per_second": 1.866,
60
+ "step": 5
61
+ },
62
+ {
63
+ "epoch": 1.07,
64
+ "grad_norm": 0.06940381973981857,
65
+ "learning_rate": 0.00012,
66
+ "loss": 2.1301,
67
+ "step": 6
68
+ },
69
+ {
70
+ "epoch": 1.24,
71
+ "grad_norm": 0.0641147643327713,
72
+ "learning_rate": 0.00014,
73
+ "loss": 2.1693,
74
+ "step": 7
75
+ },
76
+ {
77
+ "epoch": 1.42,
78
+ "grad_norm": 0.06445202231407166,
79
+ "learning_rate": 0.00016,
80
+ "loss": 2.1262,
81
+ "step": 8
82
+ },
83
+ {
84
+ "epoch": 1.6,
85
+ "grad_norm": 0.07305111736059189,
86
+ "learning_rate": 0.00018,
87
+ "loss": 2.1775,
88
+ "step": 9
89
+ },
90
+ {
91
+ "epoch": 1.78,
92
+ "grad_norm": 0.06370216608047485,
93
+ "learning_rate": 0.0002,
94
+ "loss": 2.1806,
95
+ "step": 10
96
+ },
97
+ {
98
+ "epoch": 1.78,
99
+ "eval_loss": 2.0147595405578613,
100
+ "eval_runtime": 5.3657,
101
+ "eval_samples_per_second": 14.91,
102
+ "eval_steps_per_second": 1.864,
103
+ "step": 10
104
+ },
105
+ {
106
+ "epoch": 1.96,
107
+ "grad_norm": 0.0525302030146122,
108
+ "learning_rate": 0.0001996917333733128,
109
+ "loss": 2.036,
110
+ "step": 11
111
+ },
112
+ {
113
+ "epoch": 2.13,
114
+ "grad_norm": 0.06005712226033211,
115
+ "learning_rate": 0.00019876883405951377,
116
+ "loss": 2.063,
117
+ "step": 12
118
+ },
119
+ {
120
+ "epoch": 2.31,
121
+ "grad_norm": 0.06996417045593262,
122
+ "learning_rate": 0.00019723699203976766,
123
+ "loss": 2.0135,
124
+ "step": 13
125
+ },
126
+ {
127
+ "epoch": 2.49,
128
+ "grad_norm": 0.07619830965995789,
129
+ "learning_rate": 0.00019510565162951537,
130
+ "loss": 2.0959,
131
+ "step": 14
132
+ },
133
+ {
134
+ "epoch": 2.67,
135
+ "grad_norm": 0.07416332513093948,
136
+ "learning_rate": 0.0001923879532511287,
137
+ "loss": 2.1273,
138
+ "step": 15
139
+ },
140
+ {
141
+ "epoch": 2.67,
142
+ "eval_loss": 2.0056827068328857,
143
+ "eval_runtime": 5.442,
144
+ "eval_samples_per_second": 14.7,
145
+ "eval_steps_per_second": 1.838,
146
+ "step": 15
147
+ },
148
+ {
149
+ "epoch": 2.84,
150
+ "grad_norm": 0.06484115868806839,
151
+ "learning_rate": 0.0001891006524188368,
152
+ "loss": 2.1218,
153
+ "step": 16
154
+ },
155
+ {
156
+ "epoch": 3.02,
157
+ "grad_norm": 0.06188470497727394,
158
+ "learning_rate": 0.00018526401643540922,
159
+ "loss": 1.992,
160
+ "step": 17
161
+ },
162
+ {
163
+ "epoch": 3.2,
164
+ "grad_norm": 0.06161986663937569,
165
+ "learning_rate": 0.00018090169943749476,
166
+ "loss": 2.1295,
167
+ "step": 18
168
+ },
169
+ {
170
+ "epoch": 3.38,
171
+ "grad_norm": 0.06910485774278641,
172
+ "learning_rate": 0.0001760405965600031,
173
+ "loss": 1.9729,
174
+ "step": 19
175
+ },
176
+ {
177
+ "epoch": 3.56,
178
+ "grad_norm": 0.054629288613796234,
179
+ "learning_rate": 0.00017071067811865476,
180
+ "loss": 2.0685,
181
+ "step": 20
182
+ },
183
+ {
184
+ "epoch": 3.56,
185
+ "eval_loss": 1.9929816722869873,
186
+ "eval_runtime": 5.361,
187
+ "eval_samples_per_second": 14.923,
188
+ "eval_steps_per_second": 1.865,
189
+ "step": 20
190
+ },
191
+ {
192
+ "epoch": 3.73,
193
+ "grad_norm": 0.05759178102016449,
194
+ "learning_rate": 0.00016494480483301836,
195
+ "loss": 2.0524,
196
+ "step": 21
197
+ },
198
+ {
199
+ "epoch": 3.91,
200
+ "grad_norm": 0.06020751968026161,
201
+ "learning_rate": 0.00015877852522924732,
202
+ "loss": 2.0323,
203
+ "step": 22
204
+ },
205
+ {
206
+ "epoch": 4.09,
207
+ "grad_norm": 0.06324882060289383,
208
+ "learning_rate": 0.0001522498564715949,
209
+ "loss": 2.017,
210
+ "step": 23
211
+ },
212
+ {
213
+ "epoch": 4.27,
214
+ "grad_norm": 0.06709667295217514,
215
+ "learning_rate": 0.00014539904997395468,
216
+ "loss": 2.0264,
217
+ "step": 24
218
+ },
219
+ {
220
+ "epoch": 4.44,
221
+ "grad_norm": 0.057694002985954285,
222
+ "learning_rate": 0.000138268343236509,
223
+ "loss": 1.9596,
224
+ "step": 25
225
+ },
226
+ {
227
+ "epoch": 4.44,
228
+ "eval_loss": 1.986427664756775,
229
+ "eval_runtime": 5.3574,
230
+ "eval_samples_per_second": 14.933,
231
+ "eval_steps_per_second": 1.867,
232
+ "step": 25
233
+ },
234
+ {
235
+ "epoch": 4.62,
236
+ "grad_norm": 0.06380322575569153,
237
+ "learning_rate": 0.00013090169943749476,
238
+ "loss": 2.0995,
239
+ "step": 26
240
+ },
241
+ {
242
+ "epoch": 4.8,
243
+ "grad_norm": 0.059418462216854095,
244
+ "learning_rate": 0.00012334453638559057,
245
+ "loss": 2.0501,
246
+ "step": 27
247
+ },
248
+ {
249
+ "epoch": 4.98,
250
+ "grad_norm": 0.06417760252952576,
251
+ "learning_rate": 0.0001156434465040231,
252
+ "loss": 1.9904,
253
+ "step": 28
254
+ },
255
+ {
256
+ "epoch": 5.16,
257
+ "grad_norm": 0.06266569346189499,
258
+ "learning_rate": 0.0001078459095727845,
259
+ "loss": 2.0275,
260
+ "step": 29
261
+ },
262
+ {
263
+ "epoch": 5.33,
264
+ "grad_norm": 0.06987171620130539,
265
+ "learning_rate": 0.0001,
266
+ "loss": 2.043,
267
+ "step": 30
268
+ },
269
+ {
270
+ "epoch": 5.33,
271
+ "eval_loss": 1.9850692749023438,
272
+ "eval_runtime": 5.5829,
273
+ "eval_samples_per_second": 14.329,
274
+ "eval_steps_per_second": 1.791,
275
+ "step": 30
276
+ },
277
+ {
278
+ "epoch": 5.51,
279
+ "grad_norm": 0.06864842027425766,
280
+ "learning_rate": 9.215409042721552e-05,
281
+ "loss": 1.9196,
282
+ "step": 31
283
+ },
284
+ {
285
+ "epoch": 5.69,
286
+ "grad_norm": 0.06972988694906235,
287
+ "learning_rate": 8.435655349597689e-05,
288
+ "loss": 1.9468,
289
+ "step": 32
290
+ },
291
+ {
292
+ "epoch": 5.87,
293
+ "grad_norm": 0.0746963694691658,
294
+ "learning_rate": 7.66554636144095e-05,
295
+ "loss": 1.9266,
296
+ "step": 33
297
+ },
298
+ {
299
+ "epoch": 6.04,
300
+ "grad_norm": 0.07660232484340668,
301
+ "learning_rate": 6.909830056250527e-05,
302
+ "loss": 1.9507,
303
+ "step": 34
304
+ },
305
+ {
306
+ "epoch": 6.22,
307
+ "grad_norm": 0.06880834698677063,
308
+ "learning_rate": 6.173165676349103e-05,
309
+ "loss": 1.9464,
310
+ "step": 35
311
+ },
312
+ {
313
+ "epoch": 6.22,
314
+ "eval_loss": 1.9845335483551025,
315
+ "eval_runtime": 5.4837,
316
+ "eval_samples_per_second": 14.589,
317
+ "eval_steps_per_second": 1.824,
318
+ "step": 35
319
+ },
320
+ {
321
+ "epoch": 6.4,
322
+ "grad_norm": 0.07336819916963577,
323
+ "learning_rate": 5.4600950026045326e-05,
324
+ "loss": 1.9353,
325
+ "step": 36
326
+ },
327
+ {
328
+ "epoch": 6.58,
329
+ "grad_norm": 0.07693742960691452,
330
+ "learning_rate": 4.7750143528405126e-05,
331
+ "loss": 1.9385,
332
+ "step": 37
333
+ },
334
+ {
335
+ "epoch": 6.76,
336
+ "grad_norm": 0.07842959463596344,
337
+ "learning_rate": 4.12214747707527e-05,
338
+ "loss": 1.9153,
339
+ "step": 38
340
+ },
341
+ {
342
+ "epoch": 6.93,
343
+ "grad_norm": 0.08660242706537247,
344
+ "learning_rate": 3.5055195166981645e-05,
345
+ "loss": 1.934,
346
+ "step": 39
347
+ },
348
+ {
349
+ "epoch": 7.11,
350
+ "grad_norm": 0.0903269574046135,
351
+ "learning_rate": 2.9289321881345254e-05,
352
+ "loss": 2.0036,
353
+ "step": 40
354
+ },
355
+ {
356
+ "epoch": 7.11,
357
+ "eval_loss": 1.985894799232483,
358
+ "eval_runtime": 5.3759,
359
+ "eval_samples_per_second": 14.881,
360
+ "eval_steps_per_second": 1.86,
361
+ "step": 40
362
+ },
363
+ {
364
+ "epoch": 7.29,
365
+ "grad_norm": 0.08571472018957138,
366
+ "learning_rate": 2.3959403439996907e-05,
367
+ "loss": 1.9909,
368
+ "step": 41
369
+ },
370
+ {
371
+ "epoch": 7.47,
372
+ "grad_norm": 0.07964807748794556,
373
+ "learning_rate": 1.9098300562505266e-05,
374
+ "loss": 1.8645,
375
+ "step": 42
376
+ },
377
+ {
378
+ "epoch": 7.64,
379
+ "grad_norm": 0.07694341242313385,
380
+ "learning_rate": 1.4735983564590783e-05,
381
+ "loss": 1.8933,
382
+ "step": 43
383
+ },
384
+ {
385
+ "epoch": 7.82,
386
+ "grad_norm": 0.08349137008190155,
387
+ "learning_rate": 1.0899347581163221e-05,
388
+ "loss": 2.0064,
389
+ "step": 44
390
+ },
391
+ {
392
+ "epoch": 8.0,
393
+ "grad_norm": 0.08065728098154068,
394
+ "learning_rate": 7.612046748871327e-06,
395
+ "loss": 1.9168,
396
+ "step": 45
397
+ },
398
+ {
399
+ "epoch": 8.0,
400
+ "eval_loss": 1.986413598060608,
401
+ "eval_runtime": 5.5847,
402
+ "eval_samples_per_second": 14.325,
403
+ "eval_steps_per_second": 1.791,
404
+ "step": 45
405
+ },
406
+ {
407
+ "epoch": 8.18,
408
+ "grad_norm": 0.08433607220649719,
409
+ "learning_rate": 4.8943483704846475e-06,
410
+ "loss": 1.9723,
411
+ "step": 46
412
+ },
413
+ {
414
+ "epoch": 8.36,
415
+ "grad_norm": 0.08004725724458694,
416
+ "learning_rate": 2.7630079602323442e-06,
417
+ "loss": 1.8944,
418
+ "step": 47
419
+ },
420
+ {
421
+ "epoch": 8.53,
422
+ "grad_norm": 0.07930443435907364,
423
+ "learning_rate": 1.231165940486234e-06,
424
+ "loss": 1.925,
425
+ "step": 48
426
+ },
427
+ {
428
+ "epoch": 8.71,
429
+ "grad_norm": 0.08285905420780182,
430
+ "learning_rate": 3.0826662668720364e-07,
431
+ "loss": 1.9438,
432
+ "step": 49
433
+ },
434
+ {
435
+ "epoch": 8.89,
436
+ "grad_norm": 0.08028247207403183,
437
+ "learning_rate": 0.0,
438
+ "loss": 1.9258,
439
+ "step": 50
440
+ },
441
+ {
442
+ "epoch": 8.89,
443
+ "eval_loss": 1.9865543842315674,
444
+ "eval_runtime": 5.3735,
445
+ "eval_samples_per_second": 14.888,
446
+ "eval_steps_per_second": 1.861,
447
+ "step": 50
448
+ }
449
+ ],
450
+ "logging_steps": 1,
451
+ "max_steps": 50,
452
+ "num_input_tokens_seen": 0,
453
+ "num_train_epochs": 10,
454
+ "save_steps": 5,
455
+ "total_flos": 9.328263092502528e+17,
456
+ "train_batch_size": 2,
457
+ "trial_name": null,
458
+ "trial_params": null
459
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:53c76625d26aba413ce6a6b07a6bfc0fd82dae7ea68c9e4a7a3f0fea3469025c
3
+ size 5560