JCChen0331 commited on
Commit
25a0fa9
·
verified ·
1 Parent(s): d023938

Upload 8 files

Browse files
README.md CHANGED
@@ -1,3 +1,202 @@
1
- ---
2
- license: apache-2.0
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: mistralai/Mistral-7B-v0.3
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 0.11.2.dev0
adapter_config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Mistral-7B-v0.3",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 64,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 32,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "down_proj",
24
+ "lm_head",
25
+ "o_proj",
26
+ "gate_proj",
27
+ "q_proj",
28
+ "up_proj",
29
+ "k_proj",
30
+ "v_proj"
31
+ ],
32
+ "task_type": "CAUSAL_LM",
33
+ "use_dora": false,
34
+ "use_rslora": false
35
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a36cb51f6a132f7022c325cf0eec74c0a51d8e77f0f484e7f7f9212b0ef50d34
3
+ size 877194832
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09b0ab10a6ca3036301138d207fa6e4a93fd4716d53e7c422d7a23d3a75055d4
3
+ size 171000796
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f1e65f52f4e8a6ca770f228278ce9879a8c700322eb332fb0f331e0aca83f43f
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:81f99aceabfd0f48c57966df6b56df1941f61dcd066636bb7078068fdea1d0a1
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,477 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.364877161055505,
5
+ "eval_steps": 500,
6
+ "global_step": 1500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.022747952684258416,
13
+ "grad_norm": 18.962158203125,
14
+ "learning_rate": 2.4616154873164223e-05,
15
+ "loss": 2.8908,
16
+ "step": 25
17
+ },
18
+ {
19
+ "epoch": 0.04549590536851683,
20
+ "grad_norm": 9.855137825012207,
21
+ "learning_rate": 2.4198931909212282e-05,
22
+ "loss": 2.5971,
23
+ "step": 50
24
+ },
25
+ {
26
+ "epoch": 0.06824385805277525,
27
+ "grad_norm": 10.13984203338623,
28
+ "learning_rate": 2.3781708945260348e-05,
29
+ "loss": 2.529,
30
+ "step": 75
31
+ },
32
+ {
33
+ "epoch": 0.09099181073703366,
34
+ "grad_norm": 8.192861557006836,
35
+ "learning_rate": 2.3364485981308414e-05,
36
+ "loss": 2.4313,
37
+ "step": 100
38
+ },
39
+ {
40
+ "epoch": 0.11373976342129208,
41
+ "grad_norm": 9.359848976135254,
42
+ "learning_rate": 2.2947263017356476e-05,
43
+ "loss": 2.4519,
44
+ "step": 125
45
+ },
46
+ {
47
+ "epoch": 0.1364877161055505,
48
+ "grad_norm": 9.675088882446289,
49
+ "learning_rate": 2.2530040053404542e-05,
50
+ "loss": 2.3522,
51
+ "step": 150
52
+ },
53
+ {
54
+ "epoch": 0.1592356687898089,
55
+ "grad_norm": 7.448574066162109,
56
+ "learning_rate": 2.2112817089452604e-05,
57
+ "loss": 2.2756,
58
+ "step": 175
59
+ },
60
+ {
61
+ "epoch": 0.18198362147406733,
62
+ "grad_norm": 8.285670280456543,
63
+ "learning_rate": 2.1695594125500667e-05,
64
+ "loss": 2.4835,
65
+ "step": 200
66
+ },
67
+ {
68
+ "epoch": 0.20473157415832574,
69
+ "grad_norm": 10.987030982971191,
70
+ "learning_rate": 2.1278371161548733e-05,
71
+ "loss": 2.4054,
72
+ "step": 225
73
+ },
74
+ {
75
+ "epoch": 0.22747952684258416,
76
+ "grad_norm": 9.691205978393555,
77
+ "learning_rate": 2.08611481975968e-05,
78
+ "loss": 2.3081,
79
+ "step": 250
80
+ },
81
+ {
82
+ "epoch": 0.2502274795268426,
83
+ "grad_norm": 9.08532428741455,
84
+ "learning_rate": 2.044392523364486e-05,
85
+ "loss": 2.3223,
86
+ "step": 275
87
+ },
88
+ {
89
+ "epoch": 0.272975432211101,
90
+ "grad_norm": 7.425185680389404,
91
+ "learning_rate": 2.0026702269692923e-05,
92
+ "loss": 2.388,
93
+ "step": 300
94
+ },
95
+ {
96
+ "epoch": 0.29572338489535943,
97
+ "grad_norm": 8.487403869628906,
98
+ "learning_rate": 1.960947930574099e-05,
99
+ "loss": 2.2745,
100
+ "step": 325
101
+ },
102
+ {
103
+ "epoch": 0.3184713375796178,
104
+ "grad_norm": 11.06141471862793,
105
+ "learning_rate": 1.9192256341789052e-05,
106
+ "loss": 2.2413,
107
+ "step": 350
108
+ },
109
+ {
110
+ "epoch": 0.34121929026387626,
111
+ "grad_norm": 8.929823875427246,
112
+ "learning_rate": 1.8775033377837118e-05,
113
+ "loss": 2.2775,
114
+ "step": 375
115
+ },
116
+ {
117
+ "epoch": 0.36396724294813465,
118
+ "grad_norm": 6.374183654785156,
119
+ "learning_rate": 1.8357810413885184e-05,
120
+ "loss": 2.2436,
121
+ "step": 400
122
+ },
123
+ {
124
+ "epoch": 0.3867151956323931,
125
+ "grad_norm": 9.918680191040039,
126
+ "learning_rate": 1.7940587449933243e-05,
127
+ "loss": 2.2926,
128
+ "step": 425
129
+ },
130
+ {
131
+ "epoch": 0.4094631483166515,
132
+ "grad_norm": 6.771628379821777,
133
+ "learning_rate": 1.752336448598131e-05,
134
+ "loss": 2.2754,
135
+ "step": 450
136
+ },
137
+ {
138
+ "epoch": 0.4322111010009099,
139
+ "grad_norm": 9.636200904846191,
140
+ "learning_rate": 1.7106141522029374e-05,
141
+ "loss": 2.4094,
142
+ "step": 475
143
+ },
144
+ {
145
+ "epoch": 0.4549590536851683,
146
+ "grad_norm": 10.16539478302002,
147
+ "learning_rate": 1.6688918558077437e-05,
148
+ "loss": 2.3422,
149
+ "step": 500
150
+ },
151
+ {
152
+ "epoch": 0.4549590536851683,
153
+ "eval_loss": 2.135864496231079,
154
+ "eval_runtime": 18.7379,
155
+ "eval_samples_per_second": 5.87,
156
+ "eval_steps_per_second": 0.747,
157
+ "step": 500
158
+ },
159
+ {
160
+ "epoch": 0.47770700636942676,
161
+ "grad_norm": 8.440470695495605,
162
+ "learning_rate": 1.6271695594125503e-05,
163
+ "loss": 2.3016,
164
+ "step": 525
165
+ },
166
+ {
167
+ "epoch": 0.5004549590536852,
168
+ "grad_norm": 10.333203315734863,
169
+ "learning_rate": 1.585447263017357e-05,
170
+ "loss": 2.2732,
171
+ "step": 550
172
+ },
173
+ {
174
+ "epoch": 0.5232029117379435,
175
+ "grad_norm": 8.159846305847168,
176
+ "learning_rate": 1.5437249666221628e-05,
177
+ "loss": 2.1742,
178
+ "step": 575
179
+ },
180
+ {
181
+ "epoch": 0.545950864422202,
182
+ "grad_norm": 7.440310955047607,
183
+ "learning_rate": 1.5020026702269693e-05,
184
+ "loss": 2.3123,
185
+ "step": 600
186
+ },
187
+ {
188
+ "epoch": 0.5686988171064604,
189
+ "grad_norm": 7.5925374031066895,
190
+ "learning_rate": 1.4602803738317758e-05,
191
+ "loss": 2.262,
192
+ "step": 625
193
+ },
194
+ {
195
+ "epoch": 0.5914467697907189,
196
+ "grad_norm": 7.50217342376709,
197
+ "learning_rate": 1.4185580774365822e-05,
198
+ "loss": 2.1893,
199
+ "step": 650
200
+ },
201
+ {
202
+ "epoch": 0.6141947224749773,
203
+ "grad_norm": 7.763234615325928,
204
+ "learning_rate": 1.3768357810413888e-05,
205
+ "loss": 2.2997,
206
+ "step": 675
207
+ },
208
+ {
209
+ "epoch": 0.6369426751592356,
210
+ "grad_norm": 8.378331184387207,
211
+ "learning_rate": 1.3351134846461948e-05,
212
+ "loss": 2.1408,
213
+ "step": 700
214
+ },
215
+ {
216
+ "epoch": 0.6596906278434941,
217
+ "grad_norm": 9.364808082580566,
218
+ "learning_rate": 1.2933911882510014e-05,
219
+ "loss": 2.3418,
220
+ "step": 725
221
+ },
222
+ {
223
+ "epoch": 0.6824385805277525,
224
+ "grad_norm": 7.610098838806152,
225
+ "learning_rate": 1.2516688918558078e-05,
226
+ "loss": 2.2467,
227
+ "step": 750
228
+ },
229
+ {
230
+ "epoch": 0.705186533212011,
231
+ "grad_norm": 7.710592746734619,
232
+ "learning_rate": 1.2099465954606141e-05,
233
+ "loss": 2.3844,
234
+ "step": 775
235
+ },
236
+ {
237
+ "epoch": 0.7279344858962693,
238
+ "grad_norm": 7.574198246002197,
239
+ "learning_rate": 1.1682242990654207e-05,
240
+ "loss": 2.3413,
241
+ "step": 800
242
+ },
243
+ {
244
+ "epoch": 0.7506824385805277,
245
+ "grad_norm": 10.453964233398438,
246
+ "learning_rate": 1.1265020026702271e-05,
247
+ "loss": 2.3048,
248
+ "step": 825
249
+ },
250
+ {
251
+ "epoch": 0.7734303912647862,
252
+ "grad_norm": 8.253402709960938,
253
+ "learning_rate": 1.0847797062750333e-05,
254
+ "loss": 2.2046,
255
+ "step": 850
256
+ },
257
+ {
258
+ "epoch": 0.7961783439490446,
259
+ "grad_norm": 8.736198425292969,
260
+ "learning_rate": 1.04305740987984e-05,
261
+ "loss": 2.2299,
262
+ "step": 875
263
+ },
264
+ {
265
+ "epoch": 0.818926296633303,
266
+ "grad_norm": 8.582794189453125,
267
+ "learning_rate": 1.0013351134846462e-05,
268
+ "loss": 2.2477,
269
+ "step": 900
270
+ },
271
+ {
272
+ "epoch": 0.8416742493175614,
273
+ "grad_norm": 8.511619567871094,
274
+ "learning_rate": 9.596128170894526e-06,
275
+ "loss": 2.1604,
276
+ "step": 925
277
+ },
278
+ {
279
+ "epoch": 0.8644222020018199,
280
+ "grad_norm": 7.394681930541992,
281
+ "learning_rate": 9.178905206942592e-06,
282
+ "loss": 2.2107,
283
+ "step": 950
284
+ },
285
+ {
286
+ "epoch": 0.8871701546860783,
287
+ "grad_norm": 9.960970878601074,
288
+ "learning_rate": 8.761682242990654e-06,
289
+ "loss": 2.2325,
290
+ "step": 975
291
+ },
292
+ {
293
+ "epoch": 0.9099181073703366,
294
+ "grad_norm": 8.213104248046875,
295
+ "learning_rate": 8.344459279038718e-06,
296
+ "loss": 2.3189,
297
+ "step": 1000
298
+ },
299
+ {
300
+ "epoch": 0.9099181073703366,
301
+ "eval_loss": 1.8801201581954956,
302
+ "eval_runtime": 18.4977,
303
+ "eval_samples_per_second": 5.947,
304
+ "eval_steps_per_second": 0.757,
305
+ "step": 1000
306
+ },
307
+ {
308
+ "epoch": 0.9326660600545951,
309
+ "grad_norm": 7.146160125732422,
310
+ "learning_rate": 7.927236315086784e-06,
311
+ "loss": 2.2208,
312
+ "step": 1025
313
+ },
314
+ {
315
+ "epoch": 0.9554140127388535,
316
+ "grad_norm": 10.675107955932617,
317
+ "learning_rate": 7.510013351134847e-06,
318
+ "loss": 2.3002,
319
+ "step": 1050
320
+ },
321
+ {
322
+ "epoch": 0.978161965423112,
323
+ "grad_norm": 7.811581611633301,
324
+ "learning_rate": 7.092790387182911e-06,
325
+ "loss": 2.2749,
326
+ "step": 1075
327
+ },
328
+ {
329
+ "epoch": 1.0009099181073704,
330
+ "grad_norm": 5.786709785461426,
331
+ "learning_rate": 6.675567423230974e-06,
332
+ "loss": 2.1707,
333
+ "step": 1100
334
+ },
335
+ {
336
+ "epoch": 1.0236578707916288,
337
+ "grad_norm": 8.969910621643066,
338
+ "learning_rate": 6.258344459279039e-06,
339
+ "loss": 1.7638,
340
+ "step": 1125
341
+ },
342
+ {
343
+ "epoch": 1.046405823475887,
344
+ "grad_norm": 7.258237361907959,
345
+ "learning_rate": 5.841121495327103e-06,
346
+ "loss": 1.8112,
347
+ "step": 1150
348
+ },
349
+ {
350
+ "epoch": 1.0691537761601455,
351
+ "grad_norm": 8.390810012817383,
352
+ "learning_rate": 5.423898531375167e-06,
353
+ "loss": 1.7777,
354
+ "step": 1175
355
+ },
356
+ {
357
+ "epoch": 1.091901728844404,
358
+ "grad_norm": 7.946865081787109,
359
+ "learning_rate": 5.006675567423231e-06,
360
+ "loss": 1.7933,
361
+ "step": 1200
362
+ },
363
+ {
364
+ "epoch": 1.1146496815286624,
365
+ "grad_norm": 8.631255149841309,
366
+ "learning_rate": 4.589452603471296e-06,
367
+ "loss": 1.7064,
368
+ "step": 1225
369
+ },
370
+ {
371
+ "epoch": 1.1373976342129208,
372
+ "grad_norm": 11.77323055267334,
373
+ "learning_rate": 4.172229639519359e-06,
374
+ "loss": 1.8455,
375
+ "step": 1250
376
+ },
377
+ {
378
+ "epoch": 1.1601455868971793,
379
+ "grad_norm": 8.695523262023926,
380
+ "learning_rate": 3.7550066755674234e-06,
381
+ "loss": 1.7634,
382
+ "step": 1275
383
+ },
384
+ {
385
+ "epoch": 1.1828935395814377,
386
+ "grad_norm": 8.56210708618164,
387
+ "learning_rate": 3.337783711615487e-06,
388
+ "loss": 1.7213,
389
+ "step": 1300
390
+ },
391
+ {
392
+ "epoch": 1.2056414922656962,
393
+ "grad_norm": 9.016804695129395,
394
+ "learning_rate": 2.9205607476635517e-06,
395
+ "loss": 1.7588,
396
+ "step": 1325
397
+ },
398
+ {
399
+ "epoch": 1.2283894449499546,
400
+ "grad_norm": 10.927498817443848,
401
+ "learning_rate": 2.5033377837116154e-06,
402
+ "loss": 1.8489,
403
+ "step": 1350
404
+ },
405
+ {
406
+ "epoch": 1.251137397634213,
407
+ "grad_norm": 8.833426475524902,
408
+ "learning_rate": 2.0861148197596796e-06,
409
+ "loss": 1.764,
410
+ "step": 1375
411
+ },
412
+ {
413
+ "epoch": 1.2738853503184713,
414
+ "grad_norm": 7.1187262535095215,
415
+ "learning_rate": 1.6688918558077436e-06,
416
+ "loss": 1.8312,
417
+ "step": 1400
418
+ },
419
+ {
420
+ "epoch": 1.2966333030027297,
421
+ "grad_norm": 13.539063453674316,
422
+ "learning_rate": 1.2516688918558077e-06,
423
+ "loss": 1.6446,
424
+ "step": 1425
425
+ },
426
+ {
427
+ "epoch": 1.3193812556869882,
428
+ "grad_norm": 9.34390640258789,
429
+ "learning_rate": 8.344459279038718e-07,
430
+ "loss": 1.812,
431
+ "step": 1450
432
+ },
433
+ {
434
+ "epoch": 1.3421292083712466,
435
+ "grad_norm": 11.918546676635742,
436
+ "learning_rate": 4.172229639519359e-07,
437
+ "loss": 1.8513,
438
+ "step": 1475
439
+ },
440
+ {
441
+ "epoch": 1.364877161055505,
442
+ "grad_norm": 10.514022827148438,
443
+ "learning_rate": 0.0,
444
+ "loss": 1.7566,
445
+ "step": 1500
446
+ },
447
+ {
448
+ "epoch": 1.364877161055505,
449
+ "eval_loss": 1.6919403076171875,
450
+ "eval_runtime": 18.5198,
451
+ "eval_samples_per_second": 5.94,
452
+ "eval_steps_per_second": 0.756,
453
+ "step": 1500
454
+ }
455
+ ],
456
+ "logging_steps": 25,
457
+ "max_steps": 1500,
458
+ "num_input_tokens_seen": 0,
459
+ "num_train_epochs": 2,
460
+ "save_steps": 500,
461
+ "stateful_callbacks": {
462
+ "TrainerControl": {
463
+ "args": {
464
+ "should_epoch_stop": false,
465
+ "should_evaluate": false,
466
+ "should_log": false,
467
+ "should_save": true,
468
+ "should_training_stop": true
469
+ },
470
+ "attributes": {}
471
+ }
472
+ },
473
+ "total_flos": 3.316134264491213e+16,
474
+ "train_batch_size": 2,
475
+ "trial_name": null,
476
+ "trial_params": null
477
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2057268758008801ccf38e7a17a3bcec432fc4612115ac1f4050f3ae671c27f0
3
+ size 5112