lmg-anon commited on
Commit
82f361a
1 Parent(s): 658193a

Upload folder using huggingface_hub

Browse files
checkpoint-100/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/gemma-2-27b-bnb-4bit
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 0.11.1
checkpoint-100/adapter_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "unsloth/gemma-2-27b-bnb-4bit",
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": 32,
14
+ "lora_dropout": 0,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": [
18
+ "lm_head",
19
+ "embed_tokens"
20
+ ],
21
+ "peft_type": "LORA",
22
+ "r": 128,
23
+ "rank_pattern": {},
24
+ "revision": "unsloth",
25
+ "target_modules": [
26
+ "up_proj",
27
+ "k_proj",
28
+ "gate_proj",
29
+ "down_proj",
30
+ "v_proj",
31
+ "q_proj",
32
+ "o_proj"
33
+ ],
34
+ "task_type": "CAUSAL_LM",
35
+ "use_dora": false,
36
+ "use_rslora": true
37
+ }
checkpoint-100/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0fafb216a2eafadfb6fcd68446fc65a128c796f5b494951c6e84a427d4d476ed
3
+ size 27247459432
checkpoint-100/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:568df8e8c69b2c8b56a09ab5ebd1b7c49e675260b4ca71d5de8071cc999d5898
3
+ size 6559156088
checkpoint-100/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eb8e13a761d59b362762d6ee820fea31ce0b95fd5dc88a4c162745b069a81dba
3
+ size 14244
checkpoint-100/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e2141fec6d56b7631bfbb1c87d752ee61cde5615cab98c5b2a334ceb14e311c5
3
+ size 1064
checkpoint-100/trainer_state.json ADDED
@@ -0,0 +1,733 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.2012072434607646,
5
+ "eval_steps": 500,
6
+ "global_step": 100,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.002012072434607646,
13
+ "grad_norm": 46.70955276489258,
14
+ "learning_rate": 6.5e-06,
15
+ "loss": 1.4376,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.004024144869215292,
20
+ "grad_norm": 25.710079193115234,
21
+ "learning_rate": 1.3e-05,
22
+ "loss": 1.2619,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.006036217303822937,
27
+ "grad_norm": 26.04344940185547,
28
+ "learning_rate": 1.9499999999999996e-05,
29
+ "loss": 1.2208,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.008048289738430584,
34
+ "grad_norm": 8.251016616821289,
35
+ "learning_rate": 2.6e-05,
36
+ "loss": 1.0171,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.01006036217303823,
41
+ "grad_norm": 4.199310302734375,
42
+ "learning_rate": 3.25e-05,
43
+ "loss": 0.9699,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.012072434607645875,
48
+ "grad_norm": 6.134476661682129,
49
+ "learning_rate": 3.899999999999999e-05,
50
+ "loss": 0.9899,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.014084507042253521,
55
+ "grad_norm": 4.348274230957031,
56
+ "learning_rate": 4.5499999999999995e-05,
57
+ "loss": 0.9959,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.01609657947686117,
62
+ "grad_norm": 3.9475340843200684,
63
+ "learning_rate": 5.2e-05,
64
+ "loss": 0.8857,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.018108651911468814,
69
+ "grad_norm": 3.1918065547943115,
70
+ "learning_rate": 5.85e-05,
71
+ "loss": 0.9008,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.02012072434607646,
76
+ "grad_norm": 2.7590606212615967,
77
+ "learning_rate": 6.5e-05,
78
+ "loss": 0.8703,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.022132796780684104,
83
+ "grad_norm": 3.0539116859436035,
84
+ "learning_rate": 6.499932377117017e-05,
85
+ "loss": 0.8258,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.02414486921529175,
90
+ "grad_norm": 2.821988344192505,
91
+ "learning_rate": 6.499729511282135e-05,
92
+ "loss": 0.9071,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.026156941649899398,
97
+ "grad_norm": 2.776759147644043,
98
+ "learning_rate": 6.499391410937425e-05,
99
+ "loss": 0.8496,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.028169014084507043,
104
+ "grad_norm": 2.897883176803589,
105
+ "learning_rate": 6.498918090152627e-05,
106
+ "loss": 0.8339,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.030181086519114688,
111
+ "grad_norm": 2.511650562286377,
112
+ "learning_rate": 6.498309568624549e-05,
113
+ "loss": 0.8398,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.03219315895372234,
118
+ "grad_norm": 2.69217848777771,
119
+ "learning_rate": 6.497565871676255e-05,
120
+ "loss": 0.8373,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.03420523138832998,
125
+ "grad_norm": 2.5202300548553467,
126
+ "learning_rate": 6.496687030256012e-05,
127
+ "loss": 0.8418,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.03621730382293763,
132
+ "grad_norm": 2.4313321113586426,
133
+ "learning_rate": 6.495673080935999e-05,
134
+ "loss": 0.8482,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.03822937625754527,
139
+ "grad_norm": 2.278684139251709,
140
+ "learning_rate": 6.494524065910784e-05,
141
+ "loss": 0.8059,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.04024144869215292,
146
+ "grad_norm": 2.2294907569885254,
147
+ "learning_rate": 6.493240032995573e-05,
148
+ "loss": 0.8085,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.04225352112676056,
153
+ "grad_norm": 2.446382999420166,
154
+ "learning_rate": 6.491821035624218e-05,
155
+ "loss": 0.8298,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.04426559356136821,
160
+ "grad_norm": 2.4150474071502686,
161
+ "learning_rate": 6.490267132846992e-05,
162
+ "loss": 0.9265,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.04627766599597585,
167
+ "grad_norm": 2.170037269592285,
168
+ "learning_rate": 6.488578389328129e-05,
169
+ "loss": 0.8323,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.0482897384305835,
174
+ "grad_norm": 2.010956287384033,
175
+ "learning_rate": 6.486754875343145e-05,
176
+ "loss": 0.8646,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.05030181086519115,
181
+ "grad_norm": 1.8752851486206055,
182
+ "learning_rate": 6.484796666775895e-05,
183
+ "loss": 0.8402,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.052313883299798795,
188
+ "grad_norm": 1.8610150814056396,
189
+ "learning_rate": 6.482703845115434e-05,
190
+ "loss": 0.8256,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.05432595573440644,
195
+ "grad_norm": 1.8047019243240356,
196
+ "learning_rate": 6.480476497452613e-05,
197
+ "loss": 0.819,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.056338028169014086,
202
+ "grad_norm": 1.6434446573257446,
203
+ "learning_rate": 6.47811471647646e-05,
204
+ "loss": 0.8671,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.05835010060362173,
209
+ "grad_norm": 1.5787513256072998,
210
+ "learning_rate": 6.475618600470322e-05,
211
+ "loss": 0.7992,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.060362173038229376,
216
+ "grad_norm": 1.4350961446762085,
217
+ "learning_rate": 6.472988253307773e-05,
218
+ "loss": 0.7524,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.06237424547283702,
223
+ "grad_norm": 1.391878604888916,
224
+ "learning_rate": 6.470223784448298e-05,
225
+ "loss": 0.7541,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.06438631790744467,
230
+ "grad_norm": 1.4117164611816406,
231
+ "learning_rate": 6.467325308932728e-05,
232
+ "loss": 0.7899,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.06639839034205232,
237
+ "grad_norm": 1.3123915195465088,
238
+ "learning_rate": 6.464292947378462e-05,
239
+ "loss": 0.7402,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.06841046277665996,
244
+ "grad_norm": 1.4149091243743896,
245
+ "learning_rate": 6.46112682597444e-05,
246
+ "loss": 0.8195,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.07042253521126761,
251
+ "grad_norm": 1.2951886653900146,
252
+ "learning_rate": 6.457827076475899e-05,
253
+ "loss": 0.7179,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.07243460764587525,
258
+ "grad_norm": 1.3390341997146606,
259
+ "learning_rate": 6.454393836198883e-05,
260
+ "loss": 0.7973,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.0744466800804829,
265
+ "grad_norm": 1.307084560394287,
266
+ "learning_rate": 6.450827248014535e-05,
267
+ "loss": 0.7591,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.07645875251509054,
272
+ "grad_norm": 1.3605775833129883,
273
+ "learning_rate": 6.447127460343148e-05,
274
+ "loss": 0.8085,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.07847082494969819,
279
+ "grad_norm": 1.4956183433532715,
280
+ "learning_rate": 6.443294627147988e-05,
281
+ "loss": 0.735,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.08048289738430583,
286
+ "grad_norm": 1.371940016746521,
287
+ "learning_rate": 6.439328907928889e-05,
288
+ "loss": 0.8025,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.08249496981891348,
293
+ "grad_norm": 1.4716073274612427,
294
+ "learning_rate": 6.435230467715615e-05,
295
+ "loss": 0.7381,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.08450704225352113,
300
+ "grad_norm": 1.3676444292068481,
301
+ "learning_rate": 6.430999477060994e-05,
302
+ "loss": 0.7601,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.08651911468812877,
307
+ "grad_norm": 1.5072672367095947,
308
+ "learning_rate": 6.426636112033818e-05,
309
+ "loss": 0.8209,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.08853118712273642,
314
+ "grad_norm": 1.3186477422714233,
315
+ "learning_rate": 6.422140554211511e-05,
316
+ "loss": 0.777,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.09054325955734406,
321
+ "grad_norm": 1.4689198732376099,
322
+ "learning_rate": 6.417512990672591e-05,
323
+ "loss": 0.871,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.0925553319919517,
328
+ "grad_norm": 1.287394642829895,
329
+ "learning_rate": 6.412753613988862e-05,
330
+ "loss": 0.7281,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.09456740442655935,
335
+ "grad_norm": 1.1629823446273804,
336
+ "learning_rate": 6.407862622217414e-05,
337
+ "loss": 0.715,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.096579476861167,
342
+ "grad_norm": 1.2146556377410889,
343
+ "learning_rate": 6.402840218892381e-05,
344
+ "loss": 0.6985,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.09859154929577464,
349
+ "grad_norm": 1.3280084133148193,
350
+ "learning_rate": 6.397686613016466e-05,
351
+ "loss": 0.8195,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.1006036217303823,
356
+ "grad_norm": 1.157867193222046,
357
+ "learning_rate": 6.392402019052244e-05,
358
+ "loss": 0.7529,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.10261569416498995,
363
+ "grad_norm": 1.1449801921844482,
364
+ "learning_rate": 6.386986656913242e-05,
365
+ "loss": 0.7834,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 0.10462776659959759,
370
+ "grad_norm": 1.2190605401992798,
371
+ "learning_rate": 6.381440751954782e-05,
372
+ "loss": 0.8203,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 0.10663983903420524,
377
+ "grad_norm": 1.2562769651412964,
378
+ "learning_rate": 6.375764534964608e-05,
379
+ "loss": 0.7338,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 0.10865191146881288,
384
+ "grad_norm": 1.1834882497787476,
385
+ "learning_rate": 6.369958242153278e-05,
386
+ "loss": 0.7489,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 0.11066398390342053,
391
+ "grad_norm": 1.2381786108016968,
392
+ "learning_rate": 6.364022115144337e-05,
393
+ "loss": 0.7537,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 0.11267605633802817,
398
+ "grad_norm": 1.256866693496704,
399
+ "learning_rate": 6.357956400964259e-05,
400
+ "loss": 0.7725,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 0.11468812877263582,
405
+ "grad_norm": 1.2332978248596191,
406
+ "learning_rate": 6.351761352032171e-05,
407
+ "loss": 0.774,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 0.11670020120724346,
412
+ "grad_norm": 1.3557363748550415,
413
+ "learning_rate": 6.345437226149345e-05,
414
+ "loss": 0.7877,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 0.11871227364185111,
419
+ "grad_norm": 1.1381844282150269,
420
+ "learning_rate": 6.338984286488472e-05,
421
+ "loss": 0.7152,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 0.12072434607645875,
426
+ "grad_norm": 1.147226095199585,
427
+ "learning_rate": 6.332402801582716e-05,
428
+ "loss": 0.7713,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 0.1227364185110664,
433
+ "grad_norm": 1.0942986011505127,
434
+ "learning_rate": 6.325693045314524e-05,
435
+ "loss": 0.7446,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 0.12474849094567404,
440
+ "grad_norm": 1.233619213104248,
441
+ "learning_rate": 6.318855296904246e-05,
442
+ "loss": 0.8107,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 0.1267605633802817,
447
+ "grad_norm": 1.1866984367370605,
448
+ "learning_rate": 6.311889840898498e-05,
449
+ "loss": 0.8206,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 0.12877263581488935,
454
+ "grad_norm": 1.176274061203003,
455
+ "learning_rate": 6.304796967158343e-05,
456
+ "loss": 0.7813,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 0.13078470824949698,
461
+ "grad_norm": 1.1214070320129395,
462
+ "learning_rate": 6.297576970847205e-05,
463
+ "loss": 0.6908,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 0.13279678068410464,
468
+ "grad_norm": 1.0725229978561401,
469
+ "learning_rate": 6.290230152418603e-05,
470
+ "loss": 0.756,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 0.13480885311871227,
475
+ "grad_norm": 1.1194369792938232,
476
+ "learning_rate": 6.28275681760364e-05,
477
+ "loss": 0.7766,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 0.13682092555331993,
482
+ "grad_norm": 1.090072512626648,
483
+ "learning_rate": 6.275157277398282e-05,
484
+ "loss": 0.7856,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 0.13883299798792756,
489
+ "grad_norm": 1.1602994203567505,
490
+ "learning_rate": 6.267431848050418e-05,
491
+ "loss": 0.7597,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 0.14084507042253522,
496
+ "grad_norm": 1.0984241962432861,
497
+ "learning_rate": 6.259580851046697e-05,
498
+ "loss": 0.7318,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 0.14285714285714285,
503
+ "grad_norm": 1.0639097690582275,
504
+ "learning_rate": 6.251604613099149e-05,
505
+ "loss": 0.7265,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 0.1448692152917505,
510
+ "grad_norm": 1.0951672792434692,
511
+ "learning_rate": 6.243503466131597e-05,
512
+ "loss": 0.7312,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 0.14688128772635814,
517
+ "grad_norm": 1.092551827430725,
518
+ "learning_rate": 6.235277747265828e-05,
519
+ "loss": 0.7556,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 0.1488933601609658,
524
+ "grad_norm": 1.1054296493530273,
525
+ "learning_rate": 6.226927798807585e-05,
526
+ "loss": 0.8489,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 0.15090543259557343,
531
+ "grad_norm": 1.0174497365951538,
532
+ "learning_rate": 6.218453968232303e-05,
533
+ "loss": 0.7104,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 0.1529175050301811,
538
+ "grad_norm": 1.146209716796875,
539
+ "learning_rate": 6.209856608170663e-05,
540
+ "loss": 0.7276,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 0.15492957746478872,
545
+ "grad_norm": 1.0379316806793213,
546
+ "learning_rate": 6.201136076393911e-05,
547
+ "loss": 0.7243,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 0.15694164989939638,
552
+ "grad_norm": 1.0034286975860596,
553
+ "learning_rate": 6.192292735798967e-05,
554
+ "loss": 0.7085,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 0.158953722334004,
559
+ "grad_norm": 1.0072968006134033,
560
+ "learning_rate": 6.183326954393332e-05,
561
+ "loss": 0.6865,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 0.16096579476861167,
566
+ "grad_norm": 1.0766922235488892,
567
+ "learning_rate": 6.174239105279768e-05,
568
+ "loss": 0.7628,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 0.16297786720321933,
573
+ "grad_norm": 1.014816403388977,
574
+ "learning_rate": 6.16502956664077e-05,
575
+ "loss": 0.7356,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 0.16498993963782696,
580
+ "grad_norm": 1.055881142616272,
581
+ "learning_rate": 6.155698721722834e-05,
582
+ "loss": 0.7763,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 0.16700201207243462,
587
+ "grad_norm": 1.0576510429382324,
588
+ "learning_rate": 6.146246958820503e-05,
589
+ "loss": 0.6852,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 0.16901408450704225,
594
+ "grad_norm": 1.2542794942855835,
595
+ "learning_rate": 6.136674671260213e-05,
596
+ "loss": 0.7956,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 0.1710261569416499,
601
+ "grad_norm": 1.0826421976089478,
602
+ "learning_rate": 6.12698225738392e-05,
603
+ "loss": 0.7285,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 0.17303822937625754,
608
+ "grad_norm": 1.0286874771118164,
609
+ "learning_rate": 6.11717012053253e-05,
610
+ "loss": 0.7363,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 0.1750503018108652,
615
+ "grad_norm": 1.1285161972045898,
616
+ "learning_rate": 6.107238669029108e-05,
617
+ "loss": 0.7807,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 0.17706237424547283,
622
+ "grad_norm": 2.394617795944214,
623
+ "learning_rate": 6.0971883161618906e-05,
624
+ "loss": 0.663,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 0.1790744466800805,
629
+ "grad_norm": 1.0971828699111938,
630
+ "learning_rate": 6.0870194801670825e-05,
631
+ "loss": 0.7331,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 0.18108651911468812,
636
+ "grad_norm": 1.0546624660491943,
637
+ "learning_rate": 6.076732584211459e-05,
638
+ "loss": 0.7244,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 0.18309859154929578,
643
+ "grad_norm": 1.0969500541687012,
644
+ "learning_rate": 6.06632805637475e-05,
645
+ "loss": 0.8122,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 0.1851106639839034,
650
+ "grad_norm": 1.0038318634033203,
651
+ "learning_rate": 6.055806329631827e-05,
652
+ "loss": 0.752,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 0.18712273641851107,
657
+ "grad_norm": 1.017544150352478,
658
+ "learning_rate": 6.045167841834689e-05,
659
+ "loss": 0.7629,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 0.1891348088531187,
664
+ "grad_norm": 1.0679768323898315,
665
+ "learning_rate": 6.034413035694237e-05,
666
+ "loss": 0.7533,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 0.19114688128772636,
671
+ "grad_norm": 1.1002590656280518,
672
+ "learning_rate": 6.023542358761855e-05,
673
+ "loss": 0.7566,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 0.193158953722334,
678
+ "grad_norm": 1.0083142518997192,
679
+ "learning_rate": 6.01255626341078e-05,
680
+ "loss": 0.6873,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 0.19517102615694165,
685
+ "grad_norm": 1.897566318511963,
686
+ "learning_rate": 6.0014552068172866e-05,
687
+ "loss": 0.8056,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 0.19718309859154928,
692
+ "grad_norm": 0.995782732963562,
693
+ "learning_rate": 5.990239650941649e-05,
694
+ "loss": 0.7062,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 0.19919517102615694,
699
+ "grad_norm": 0.9380747079849243,
700
+ "learning_rate": 5.97891006250893e-05,
701
+ "loss": 0.6674,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 0.2012072434607646,
706
+ "grad_norm": 1.0377370119094849,
707
+ "learning_rate": 5.967466912989547e-05,
708
+ "loss": 0.7425,
709
+ "step": 100
710
+ }
711
+ ],
712
+ "logging_steps": 1,
713
+ "max_steps": 497,
714
+ "num_input_tokens_seen": 0,
715
+ "num_train_epochs": 1,
716
+ "save_steps": 50,
717
+ "stateful_callbacks": {
718
+ "TrainerControl": {
719
+ "args": {
720
+ "should_epoch_stop": false,
721
+ "should_evaluate": false,
722
+ "should_log": false,
723
+ "should_save": true,
724
+ "should_training_stop": false
725
+ },
726
+ "attributes": {}
727
+ }
728
+ },
729
+ "total_flos": 4.60168918788096e+17,
730
+ "train_batch_size": 15,
731
+ "trial_name": null,
732
+ "trial_params": null
733
+ }
checkpoint-100/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05ae03ee70ba5876b3caf4bbc7280e0ee8c8b2ace354431732afbb1143dd28b5
3
+ size 5112