Asilarkness commited on
Commit
ccf5daf
·
verified ·
1 Parent(s): 601b849

Training in progress, step 600, checkpoint

Browse files
checkpoint-600/README.md ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen3.6-27B
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:Qwen/Qwen3.6-27B
7
+ - lora
8
+ - transformers
9
+ ---
10
+
11
+ # Model Card for Model ID
12
+
13
+ <!-- Provide a quick summary of what the model is/does. -->
14
+
15
+
16
+
17
+ ## Model Details
18
+
19
+ ### Model Description
20
+
21
+ <!-- Provide a longer summary of what this model is. -->
22
+
23
+
24
+
25
+ - **Developed by:** [More Information Needed]
26
+ - **Funded by [optional]:** [More Information Needed]
27
+ - **Shared by [optional]:** [More Information Needed]
28
+ - **Model type:** [More Information Needed]
29
+ - **Language(s) (NLP):** [More Information Needed]
30
+ - **License:** [More Information Needed]
31
+ - **Finetuned from model [optional]:** [More Information Needed]
32
+
33
+ ### Model Sources [optional]
34
+
35
+ <!-- Provide the basic links for the model. -->
36
+
37
+ - **Repository:** [More Information Needed]
38
+ - **Paper [optional]:** [More Information Needed]
39
+ - **Demo [optional]:** [More Information Needed]
40
+
41
+ ## Uses
42
+
43
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
44
+
45
+ ### Direct Use
46
+
47
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Downstream Use [optional]
52
+
53
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
54
+
55
+ [More Information Needed]
56
+
57
+ ### Out-of-Scope Use
58
+
59
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ## Bias, Risks, and Limitations
64
+
65
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
66
+
67
+ [More Information Needed]
68
+
69
+ ### Recommendations
70
+
71
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
72
+
73
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
74
+
75
+ ## How to Get Started with the Model
76
+
77
+ Use the code below to get started with the model.
78
+
79
+ [More Information Needed]
80
+
81
+ ## Training Details
82
+
83
+ ### Training Data
84
+
85
+ <!-- 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. -->
86
+
87
+ [More Information Needed]
88
+
89
+ ### Training Procedure
90
+
91
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
92
+
93
+ #### Preprocessing [optional]
94
+
95
+ [More Information Needed]
96
+
97
+
98
+ #### Training Hyperparameters
99
+
100
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
101
+
102
+ #### Speeds, Sizes, Times [optional]
103
+
104
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
105
+
106
+ [More Information Needed]
107
+
108
+ ## Evaluation
109
+
110
+ <!-- This section describes the evaluation protocols and provides the results. -->
111
+
112
+ ### Testing Data, Factors & Metrics
113
+
114
+ #### Testing Data
115
+
116
+ <!-- This should link to a Dataset Card if possible. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Factors
121
+
122
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
123
+
124
+ [More Information Needed]
125
+
126
+ #### Metrics
127
+
128
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
129
+
130
+ [More Information Needed]
131
+
132
+ ### Results
133
+
134
+ [More Information Needed]
135
+
136
+ #### Summary
137
+
138
+
139
+
140
+ ## Model Examination [optional]
141
+
142
+ <!-- Relevant interpretability work for the model goes here -->
143
+
144
+ [More Information Needed]
145
+
146
+ ## Environmental Impact
147
+
148
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
149
+
150
+ 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).
151
+
152
+ - **Hardware Type:** [More Information Needed]
153
+ - **Hours used:** [More Information Needed]
154
+ - **Cloud Provider:** [More Information Needed]
155
+ - **Compute Region:** [More Information Needed]
156
+ - **Carbon Emitted:** [More Information Needed]
157
+
158
+ ## Technical Specifications [optional]
159
+
160
+ ### Model Architecture and Objective
161
+
162
+ [More Information Needed]
163
+
164
+ ### Compute Infrastructure
165
+
166
+ [More Information Needed]
167
+
168
+ #### Hardware
169
+
170
+ [More Information Needed]
171
+
172
+ #### Software
173
+
174
+ [More Information Needed]
175
+
176
+ ## Citation [optional]
177
+
178
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
179
+
180
+ **BibTeX:**
181
+
182
+ [More Information Needed]
183
+
184
+ **APA:**
185
+
186
+ [More Information Needed]
187
+
188
+ ## Glossary [optional]
189
+
190
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
191
+
192
+ [More Information Needed]
193
+
194
+ ## More Information [optional]
195
+
196
+ [More Information Needed]
197
+
198
+ ## Model Card Authors [optional]
199
+
200
+ [More Information Needed]
201
+
202
+ ## Model Card Contact
203
+
204
+ [More Information Needed]
205
+ ### Framework versions
206
+
207
+ - PEFT 0.20.0
checkpoint-600/adapter_config.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": null,
6
+ "base_model_name_or_path": "Qwen/Qwen3.6-27B",
7
+ "bias": "none",
8
+ "corda_config": null,
9
+ "ensure_weight_tying": false,
10
+ "eva_config": null,
11
+ "exclude_modules": null,
12
+ "fan_in_fan_out": false,
13
+ "inference_mode": true,
14
+ "init_lora_weights": "pissa_niter_16",
15
+ "layer_replication": null,
16
+ "layers_pattern": null,
17
+ "layers_to_transform": null,
18
+ "loftq_config": {},
19
+ "lora_alpha": 64,
20
+ "lora_bias": false,
21
+ "lora_dropout": 0.0,
22
+ "lora_ga_config": null,
23
+ "megatron_config": null,
24
+ "megatron_core": "megatron.core",
25
+ "modules_to_save": null,
26
+ "monteclora_config": null,
27
+ "peft_type": "LORA",
28
+ "peft_version": "0.20.0",
29
+ "qalora_group_size": 16,
30
+ "r": 64,
31
+ "rank_pattern": {},
32
+ "revision": null,
33
+ "target_modules": [
34
+ "in_proj_qkv",
35
+ "o_proj",
36
+ "v_proj",
37
+ "gate_proj",
38
+ "in_proj_z",
39
+ "out_proj",
40
+ "up_proj",
41
+ "down_proj",
42
+ "q_proj",
43
+ "k_proj"
44
+ ],
45
+ "target_parameters": null,
46
+ "task_type": "CAUSAL_LM",
47
+ "trainable_token_indices": null,
48
+ "use_bdlora": null,
49
+ "use_dora": false,
50
+ "use_qalora": false,
51
+ "use_rslora": true,
52
+ "velora_config": null
53
+ }
checkpoint-600/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:28ddc3d6a3f28275397b123ea0dbd6aa6c1c7cebe0281cb260f7b5a001faa524
3
+ size 1740746640
checkpoint-600/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31c5b36ad1d8c0733626058f18c4aeb0e001eb6d5db6eec813444d1152406e08
3
+ size 3481950275
checkpoint-600/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f196323d7423b60f8e4ceb7dbf8715ee326c0d068e5ff164f13c63b279b9f1a0
3
+ size 14645
checkpoint-600/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cb687094b60dc5724a025c203757acc487aa5d2e411fd4ba8d22b3fa76d8d3b5
3
+ size 1529
checkpoint-600/trainer_state.json ADDED
@@ -0,0 +1,922 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.6241060980366663,
6
+ "eval_steps": 100,
7
+ "global_step": 600,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.005200884150305552,
14
+ "grad_norm": 4.82585334777832,
15
+ "learning_rate": 5.6140350877192985e-06,
16
+ "loss": 0.7676299571990967,
17
+ "step": 5
18
+ },
19
+ {
20
+ "epoch": 0.010401768300611104,
21
+ "grad_norm": 3.292309522628784,
22
+ "learning_rate": 1.263157894736842e-05,
23
+ "loss": 0.631245470046997,
24
+ "step": 10
25
+ },
26
+ {
27
+ "epoch": 0.015602652450916656,
28
+ "grad_norm": 3.0301995277404785,
29
+ "learning_rate": 1.9649122807017544e-05,
30
+ "loss": 0.6749040126800537,
31
+ "step": 15
32
+ },
33
+ {
34
+ "epoch": 0.02080353660122221,
35
+ "grad_norm": 2.853067398071289,
36
+ "learning_rate": 2.6666666666666667e-05,
37
+ "loss": 0.7889204978942871,
38
+ "step": 20
39
+ },
40
+ {
41
+ "epoch": 0.02600442075152776,
42
+ "grad_norm": 2.4595491886138916,
43
+ "learning_rate": 3.368421052631579e-05,
44
+ "loss": 0.8261689186096192,
45
+ "step": 25
46
+ },
47
+ {
48
+ "epoch": 0.031205304901833313,
49
+ "grad_norm": 3.285839319229126,
50
+ "learning_rate": 4.070175438596492e-05,
51
+ "loss": 0.8855669021606445,
52
+ "step": 30
53
+ },
54
+ {
55
+ "epoch": 0.03640618905213886,
56
+ "grad_norm": 2.9381635189056396,
57
+ "learning_rate": 4.771929824561404e-05,
58
+ "loss": 0.8640634536743164,
59
+ "step": 35
60
+ },
61
+ {
62
+ "epoch": 0.04160707320244442,
63
+ "grad_norm": 2.142974376678467,
64
+ "learning_rate": 5.4736842105263165e-05,
65
+ "loss": 0.8938538551330566,
66
+ "step": 40
67
+ },
68
+ {
69
+ "epoch": 0.046807957352749965,
70
+ "grad_norm": 3.4374115467071533,
71
+ "learning_rate": 6.175438596491228e-05,
72
+ "loss": 0.9762144088745117,
73
+ "step": 45
74
+ },
75
+ {
76
+ "epoch": 0.05200884150305552,
77
+ "grad_norm": 2.2888057231903076,
78
+ "learning_rate": 6.87719298245614e-05,
79
+ "loss": 1.0100465774536134,
80
+ "step": 50
81
+ },
82
+ {
83
+ "epoch": 0.05720972565336107,
84
+ "grad_norm": 2.101193428039551,
85
+ "learning_rate": 7.578947368421052e-05,
86
+ "loss": 1.0064237594604493,
87
+ "step": 55
88
+ },
89
+ {
90
+ "epoch": 0.062410609803666625,
91
+ "grad_norm": 2.3019754886627197,
92
+ "learning_rate": 7.999977348305978e-05,
93
+ "loss": 1.0382986068725586,
94
+ "step": 60
95
+ },
96
+ {
97
+ "epoch": 0.06761149395397217,
98
+ "grad_norm": 2.0822298526763916,
99
+ "learning_rate": 7.999722519694521e-05,
100
+ "loss": 1.1403823852539063,
101
+ "step": 65
102
+ },
103
+ {
104
+ "epoch": 0.07281237810427772,
105
+ "grad_norm": 2.109672784805298,
106
+ "learning_rate": 7.999184565952555e-05,
107
+ "loss": 1.0954228401184083,
108
+ "step": 70
109
+ },
110
+ {
111
+ "epoch": 0.07801326225458328,
112
+ "grad_norm": 1.9484328031539917,
113
+ "learning_rate": 7.998363525159777e-05,
114
+ "loss": 1.125577735900879,
115
+ "step": 75
116
+ },
117
+ {
118
+ "epoch": 0.08321414640488883,
119
+ "grad_norm": 2.0304486751556396,
120
+ "learning_rate": 7.997259455434539e-05,
121
+ "loss": 1.078431987762451,
122
+ "step": 80
123
+ },
124
+ {
125
+ "epoch": 0.08841503055519438,
126
+ "grad_norm": 1.8764644861221313,
127
+ "learning_rate": 7.995872434929734e-05,
128
+ "loss": 1.0825774192810058,
129
+ "step": 85
130
+ },
131
+ {
132
+ "epoch": 0.09361591470549993,
133
+ "grad_norm": 2.521047353744507,
134
+ "learning_rate": 7.994202561827263e-05,
135
+ "loss": 1.0628202438354493,
136
+ "step": 90
137
+ },
138
+ {
139
+ "epoch": 0.0988167988558055,
140
+ "grad_norm": 1.7737245559692383,
141
+ "learning_rate": 7.992249954331088e-05,
142
+ "loss": 1.0672310829162597,
143
+ "step": 95
144
+ },
145
+ {
146
+ "epoch": 0.10401768300611104,
147
+ "grad_norm": 2.0016262531280518,
148
+ "learning_rate": 7.990014750658856e-05,
149
+ "loss": 1.0844260215759278,
150
+ "step": 100
151
+ },
152
+ {
153
+ "epoch": 0.10401768300611104,
154
+ "eval_loss": 1.090377688407898,
155
+ "eval_runtime": 131.495,
156
+ "eval_samples_per_second": 1.947,
157
+ "eval_steps_per_second": 1.947,
158
+ "step": 100
159
+ },
160
+ {
161
+ "epoch": 0.10921856715641659,
162
+ "grad_norm": 2.2041330337524414,
163
+ "learning_rate": 7.987497109032128e-05,
164
+ "loss": 1.095380973815918,
165
+ "step": 105
166
+ },
167
+ {
168
+ "epoch": 0.11441945130672214,
169
+ "grad_norm": 1.7770912647247314,
170
+ "learning_rate": 7.98469720766517e-05,
171
+ "loss": 1.076313304901123,
172
+ "step": 110
173
+ },
174
+ {
175
+ "epoch": 0.11962033545702769,
176
+ "grad_norm": 2.0055956840515137,
177
+ "learning_rate": 7.98161524475234e-05,
178
+ "loss": 1.069803810119629,
179
+ "step": 115
180
+ },
181
+ {
182
+ "epoch": 0.12482121960733325,
183
+ "grad_norm": 1.9808892011642456,
184
+ "learning_rate": 7.978251438454063e-05,
185
+ "loss": 1.062901496887207,
186
+ "step": 120
187
+ },
188
+ {
189
+ "epoch": 0.13002210375763879,
190
+ "grad_norm": 1.7519869804382324,
191
+ "learning_rate": 7.974606026881378e-05,
192
+ "loss": 1.03425931930542,
193
+ "step": 125
194
+ },
195
+ {
196
+ "epoch": 0.13522298790794435,
197
+ "grad_norm": 1.8879916667938232,
198
+ "learning_rate": 7.970679268079092e-05,
199
+ "loss": 1.085061264038086,
200
+ "step": 130
201
+ },
202
+ {
203
+ "epoch": 0.1404238720582499,
204
+ "grad_norm": 1.855212926864624,
205
+ "learning_rate": 7.966471440007514e-05,
206
+ "loss": 1.0653216361999511,
207
+ "step": 135
208
+ },
209
+ {
210
+ "epoch": 0.14562475620855544,
211
+ "grad_norm": 1.9829131364822388,
212
+ "learning_rate": 7.961982840522773e-05,
213
+ "loss": 1.0679091453552245,
214
+ "step": 140
215
+ },
216
+ {
217
+ "epoch": 0.150825640358861,
218
+ "grad_norm": 1.8631235361099243,
219
+ "learning_rate": 7.957213787355738e-05,
220
+ "loss": 1.0336699485778809,
221
+ "step": 145
222
+ },
223
+ {
224
+ "epoch": 0.15602652450916657,
225
+ "grad_norm": 1.7199710607528687,
226
+ "learning_rate": 7.95216461808953e-05,
227
+ "loss": 1.085853385925293,
228
+ "step": 150
229
+ },
230
+ {
231
+ "epoch": 0.1612274086594721,
232
+ "grad_norm": 1.8429338932037354,
233
+ "learning_rate": 7.946835690135617e-05,
234
+ "loss": 1.039409065246582,
235
+ "step": 155
236
+ },
237
+ {
238
+ "epoch": 0.16642829280977767,
239
+ "grad_norm": 1.9319918155670166,
240
+ "learning_rate": 7.941227380708522e-05,
241
+ "loss": 1.0467087745666503,
242
+ "step": 160
243
+ },
244
+ {
245
+ "epoch": 0.1716291769600832,
246
+ "grad_norm": 2.0441744327545166,
247
+ "learning_rate": 7.93534008679912e-05,
248
+ "loss": 1.0675994873046875,
249
+ "step": 165
250
+ },
251
+ {
252
+ "epoch": 0.17683006111038876,
253
+ "grad_norm": 1.847270131111145,
254
+ "learning_rate": 7.929174225146534e-05,
255
+ "loss": 1.0682602882385255,
256
+ "step": 170
257
+ },
258
+ {
259
+ "epoch": 0.18203094526069433,
260
+ "grad_norm": 1.8770182132720947,
261
+ "learning_rate": 7.922730232208637e-05,
262
+ "loss": 1.0655933380126954,
263
+ "step": 175
264
+ },
265
+ {
266
+ "epoch": 0.18723182941099986,
267
+ "grad_norm": 1.9199661016464233,
268
+ "learning_rate": 7.916008564131158e-05,
269
+ "loss": 1.0514616012573241,
270
+ "step": 180
271
+ },
272
+ {
273
+ "epoch": 0.19243271356130542,
274
+ "grad_norm": 1.7040131092071533,
275
+ "learning_rate": 7.909009696715391e-05,
276
+ "loss": 1.0357669830322265,
277
+ "step": 185
278
+ },
279
+ {
280
+ "epoch": 0.197633597711611,
281
+ "grad_norm": 1.7878484725952148,
282
+ "learning_rate": 7.901734125384515e-05,
283
+ "loss": 1.034726905822754,
284
+ "step": 190
285
+ },
286
+ {
287
+ "epoch": 0.20283448186191652,
288
+ "grad_norm": 1.7647621631622314,
289
+ "learning_rate": 7.89418236514853e-05,
290
+ "loss": 1.0258402824401855,
291
+ "step": 195
292
+ },
293
+ {
294
+ "epoch": 0.20803536601222208,
295
+ "grad_norm": 1.7211089134216309,
296
+ "learning_rate": 7.886354950567789e-05,
297
+ "loss": 1.0237075805664062,
298
+ "step": 200
299
+ },
300
+ {
301
+ "epoch": 0.20803536601222208,
302
+ "eval_loss": 1.0211308002471924,
303
+ "eval_runtime": 130.7508,
304
+ "eval_samples_per_second": 1.958,
305
+ "eval_steps_per_second": 1.958,
306
+ "step": 200
307
+ },
308
+ {
309
+ "epoch": 0.21323625016252762,
310
+ "grad_norm": 1.9167125225067139,
311
+ "learning_rate": 7.878252435715178e-05,
312
+ "loss": 1.0424039840698243,
313
+ "step": 205
314
+ },
315
+ {
316
+ "epoch": 0.21843713431283318,
317
+ "grad_norm": 1.6589795351028442,
318
+ "learning_rate": 7.869875394136873e-05,
319
+ "loss": 0.985629940032959,
320
+ "step": 210
321
+ },
322
+ {
323
+ "epoch": 0.22363801846313874,
324
+ "grad_norm": 1.7960469722747803,
325
+ "learning_rate": 7.861224418811757e-05,
326
+ "loss": 1.0503170013427734,
327
+ "step": 215
328
+ },
329
+ {
330
+ "epoch": 0.22883890261344428,
331
+ "grad_norm": 1.876910924911499,
332
+ "learning_rate": 7.852300122109443e-05,
333
+ "loss": 1.0263469696044922,
334
+ "step": 220
335
+ },
336
+ {
337
+ "epoch": 0.23403978676374984,
338
+ "grad_norm": 1.7034902572631836,
339
+ "learning_rate": 7.843103135746916e-05,
340
+ "loss": 1.0396705627441407,
341
+ "step": 225
342
+ },
343
+ {
344
+ "epoch": 0.23924067091405538,
345
+ "grad_norm": 1.7886664867401123,
346
+ "learning_rate": 7.833634110743832e-05,
347
+ "loss": 1.0125335693359374,
348
+ "step": 230
349
+ },
350
+ {
351
+ "epoch": 0.24444155506436094,
352
+ "grad_norm": 1.7878754138946533,
353
+ "learning_rate": 7.823893717376422e-05,
354
+ "loss": 0.9978487968444825,
355
+ "step": 235
356
+ },
357
+ {
358
+ "epoch": 0.2496424392146665,
359
+ "grad_norm": 1.6163357496261597,
360
+ "learning_rate": 7.813882645130049e-05,
361
+ "loss": 1.0093013763427734,
362
+ "step": 240
363
+ },
364
+ {
365
+ "epoch": 0.25484332336497206,
366
+ "grad_norm": 1.7179474830627441,
367
+ "learning_rate": 7.80360160265041e-05,
368
+ "loss": 0.9946321487426758,
369
+ "step": 245
370
+ },
371
+ {
372
+ "epoch": 0.26004420751527757,
373
+ "grad_norm": 1.828262209892273,
374
+ "learning_rate": 7.793051317693359e-05,
375
+ "loss": 1.0461179733276367,
376
+ "step": 250
377
+ },
378
+ {
379
+ "epoch": 0.26524509166558313,
380
+ "grad_norm": 1.837222933769226,
381
+ "learning_rate": 7.782232537073406e-05,
382
+ "loss": 1.0099411964416505,
383
+ "step": 255
384
+ },
385
+ {
386
+ "epoch": 0.2704459758158887,
387
+ "grad_norm": 1.9459391832351685,
388
+ "learning_rate": 7.771146026610844e-05,
389
+ "loss": 0.9811776161193848,
390
+ "step": 260
391
+ },
392
+ {
393
+ "epoch": 0.27564685996619426,
394
+ "grad_norm": 1.8060634136199951,
395
+ "learning_rate": 7.759792571077545e-05,
396
+ "loss": 0.9858491897583008,
397
+ "step": 265
398
+ },
399
+ {
400
+ "epoch": 0.2808477441164998,
401
+ "grad_norm": 1.8257906436920166,
402
+ "learning_rate": 7.748172974141401e-05,
403
+ "loss": 1.0260663032531738,
404
+ "step": 270
405
+ },
406
+ {
407
+ "epoch": 0.2860486282668054,
408
+ "grad_norm": 1.7271229028701782,
409
+ "learning_rate": 7.736288058309448e-05,
410
+ "loss": 1.0253376007080077,
411
+ "step": 275
412
+ },
413
+ {
414
+ "epoch": 0.2912495124171109,
415
+ "grad_norm": 1.6389424800872803,
416
+ "learning_rate": 7.724138664869628e-05,
417
+ "loss": 0.9872174263000488,
418
+ "step": 280
419
+ },
420
+ {
421
+ "epoch": 0.29645039656741645,
422
+ "grad_norm": 1.7230466604232788,
423
+ "learning_rate": 7.711725653831255e-05,
424
+ "loss": 1.0354929924011231,
425
+ "step": 285
426
+ },
427
+ {
428
+ "epoch": 0.301651280717722,
429
+ "grad_norm": 1.7749247550964355,
430
+ "learning_rate": 7.699049903864125e-05,
431
+ "loss": 0.9916903495788574,
432
+ "step": 290
433
+ },
434
+ {
435
+ "epoch": 0.3068521648680276,
436
+ "grad_norm": 1.7340270280838013,
437
+ "learning_rate": 7.68611231223632e-05,
438
+ "loss": 1.0025782585144043,
439
+ "step": 295
440
+ },
441
+ {
442
+ "epoch": 0.31205304901833314,
443
+ "grad_norm": 1.5753134489059448,
444
+ "learning_rate": 7.672913794750699e-05,
445
+ "loss": 0.9782845497131347,
446
+ "step": 300
447
+ },
448
+ {
449
+ "epoch": 0.31205304901833314,
450
+ "eval_loss": 1.01508629322052,
451
+ "eval_runtime": 130.89,
452
+ "eval_samples_per_second": 1.956,
453
+ "eval_steps_per_second": 1.956,
454
+ "step": 300
455
+ },
456
+ {
457
+ "epoch": 0.31725393316863865,
458
+ "grad_norm": 1.6529031991958618,
459
+ "learning_rate": 7.659455285680071e-05,
460
+ "loss": 0.9918001174926758,
461
+ "step": 305
462
+ },
463
+ {
464
+ "epoch": 0.3224548173189442,
465
+ "grad_norm": 1.6655994653701782,
466
+ "learning_rate": 7.645737737701054e-05,
467
+ "loss": 0.9847027778625488,
468
+ "step": 310
469
+ },
470
+ {
471
+ "epoch": 0.32765570146924977,
472
+ "grad_norm": 1.7864056825637817,
473
+ "learning_rate": 7.631762121826653e-05,
474
+ "loss": 0.9591518402099609,
475
+ "step": 315
476
+ },
477
+ {
478
+ "epoch": 0.33285658561955533,
479
+ "grad_norm": 1.7958587408065796,
480
+ "learning_rate": 7.617529427337507e-05,
481
+ "loss": 0.9712434768676758,
482
+ "step": 320
483
+ },
484
+ {
485
+ "epoch": 0.3380574697698609,
486
+ "grad_norm": 1.7462350130081177,
487
+ "learning_rate": 7.603040661711879e-05,
488
+ "loss": 1.0182976722717285,
489
+ "step": 325
490
+ },
491
+ {
492
+ "epoch": 0.3432583539201664,
493
+ "grad_norm": 1.73703932762146,
494
+ "learning_rate": 7.588296850554326e-05,
495
+ "loss": 0.978699779510498,
496
+ "step": 330
497
+ },
498
+ {
499
+ "epoch": 0.34845923807047197,
500
+ "grad_norm": 1.781213402748108,
501
+ "learning_rate": 7.573299037523115e-05,
502
+ "loss": 1.0263344764709472,
503
+ "step": 335
504
+ },
505
+ {
506
+ "epoch": 0.35366012222077753,
507
+ "grad_norm": 1.7940926551818848,
508
+ "learning_rate": 7.558048284256334e-05,
509
+ "loss": 1.039241409301758,
510
+ "step": 340
511
+ },
512
+ {
513
+ "epoch": 0.3588610063710831,
514
+ "grad_norm": 1.725530982017517,
515
+ "learning_rate": 7.542545670296747e-05,
516
+ "loss": 0.9716745376586914,
517
+ "step": 345
518
+ },
519
+ {
520
+ "epoch": 0.36406189052138865,
521
+ "grad_norm": 1.665209174156189,
522
+ "learning_rate": 7.526792293015382e-05,
523
+ "loss": 0.9396204948425293,
524
+ "step": 350
525
+ },
526
+ {
527
+ "epoch": 0.36926277467169416,
528
+ "grad_norm": 1.8031824827194214,
529
+ "learning_rate": 7.51078926753384e-05,
530
+ "loss": 0.9682992935180664,
531
+ "step": 355
532
+ },
533
+ {
534
+ "epoch": 0.3744636588219997,
535
+ "grad_norm": 1.7742233276367188,
536
+ "learning_rate": 7.494537726645375e-05,
537
+ "loss": 0.9833150863647461,
538
+ "step": 360
539
+ },
540
+ {
541
+ "epoch": 0.3796645429723053,
542
+ "grad_norm": 1.7864766120910645,
543
+ "learning_rate": 7.478038820734698e-05,
544
+ "loss": 0.9690051078796387,
545
+ "step": 365
546
+ },
547
+ {
548
+ "epoch": 0.38486542712261085,
549
+ "grad_norm": 1.7735403776168823,
550
+ "learning_rate": 7.461293717696549e-05,
551
+ "loss": 0.9864785194396972,
552
+ "step": 370
553
+ },
554
+ {
555
+ "epoch": 0.3900663112729164,
556
+ "grad_norm": 1.6049963235855103,
557
+ "learning_rate": 7.444303602853024e-05,
558
+ "loss": 0.9804511070251465,
559
+ "step": 375
560
+ },
561
+ {
562
+ "epoch": 0.395267195423222,
563
+ "grad_norm": 1.6558054685592651,
564
+ "learning_rate": 7.427069678869672e-05,
565
+ "loss": 0.9362913131713867,
566
+ "step": 380
567
+ },
568
+ {
569
+ "epoch": 0.4004680795735275,
570
+ "grad_norm": 1.6555157899856567,
571
+ "learning_rate": 7.409593165670364e-05,
572
+ "loss": 0.948128604888916,
573
+ "step": 385
574
+ },
575
+ {
576
+ "epoch": 0.40566896372383304,
577
+ "grad_norm": 1.812888741493225,
578
+ "learning_rate": 7.391875300350937e-05,
579
+ "loss": 0.9553811073303222,
580
+ "step": 390
581
+ },
582
+ {
583
+ "epoch": 0.4108698478741386,
584
+ "grad_norm": 1.6602718830108643,
585
+ "learning_rate": 7.373917337091626e-05,
586
+ "loss": 0.940127944946289,
587
+ "step": 395
588
+ },
589
+ {
590
+ "epoch": 0.41607073202444417,
591
+ "grad_norm": 1.7474323511123657,
592
+ "learning_rate": 7.355720547068288e-05,
593
+ "loss": 0.9683933258056641,
594
+ "step": 400
595
+ },
596
+ {
597
+ "epoch": 0.41607073202444417,
598
+ "eval_loss": 0.9856516122817993,
599
+ "eval_runtime": 130.2348,
600
+ "eval_samples_per_second": 1.966,
601
+ "eval_steps_per_second": 1.966,
602
+ "step": 400
603
+ },
604
+ {
605
+ "epoch": 0.42127161617474973,
606
+ "grad_norm": 1.7211471796035767,
607
+ "learning_rate": 7.337286218362413e-05,
608
+ "loss": 0.9713785171508789,
609
+ "step": 405
610
+ },
611
+ {
612
+ "epoch": 0.42647250032505524,
613
+ "grad_norm": 1.839705467224121,
614
+ "learning_rate": 7.31861565586995e-05,
615
+ "loss": 0.9828580856323242,
616
+ "step": 410
617
+ },
618
+ {
619
+ "epoch": 0.4316733844753608,
620
+ "grad_norm": 1.6094111204147339,
621
+ "learning_rate": 7.299710181208943e-05,
622
+ "loss": 0.9652169227600098,
623
+ "step": 415
624
+ },
625
+ {
626
+ "epoch": 0.43687426862566636,
627
+ "grad_norm": 1.8238450288772583,
628
+ "learning_rate": 7.280571132625971e-05,
629
+ "loss": 0.9175550460815429,
630
+ "step": 420
631
+ },
632
+ {
633
+ "epoch": 0.4420751527759719,
634
+ "grad_norm": 1.7738935947418213,
635
+ "learning_rate": 7.261199864901423e-05,
636
+ "loss": 0.959293270111084,
637
+ "step": 425
638
+ },
639
+ {
640
+ "epoch": 0.4472760369262775,
641
+ "grad_norm": 1.7823359966278076,
642
+ "learning_rate": 7.241597749253593e-05,
643
+ "loss": 0.9460945129394531,
644
+ "step": 430
645
+ },
646
+ {
647
+ "epoch": 0.452476921076583,
648
+ "grad_norm": 1.852073073387146,
649
+ "learning_rate": 7.221766173241629e-05,
650
+ "loss": 0.9572076797485352,
651
+ "step": 435
652
+ },
653
+ {
654
+ "epoch": 0.45767780522688856,
655
+ "grad_norm": 1.7884498834609985,
656
+ "learning_rate": 7.201706540667293e-05,
657
+ "loss": 0.980253028869629,
658
+ "step": 440
659
+ },
660
+ {
661
+ "epoch": 0.4628786893771941,
662
+ "grad_norm": 1.6045715808868408,
663
+ "learning_rate": 7.181420271475616e-05,
664
+ "loss": 0.9448029518127441,
665
+ "step": 445
666
+ },
667
+ {
668
+ "epoch": 0.4680795735274997,
669
+ "grad_norm": 1.703908920288086,
670
+ "learning_rate": 7.160908801654358e-05,
671
+ "loss": 0.9464167594909668,
672
+ "step": 450
673
+ },
674
+ {
675
+ "epoch": 0.47328045767780524,
676
+ "grad_norm": 1.5748329162597656,
677
+ "learning_rate": 7.14017358313239e-05,
678
+ "loss": 0.9481819152832032,
679
+ "step": 455
680
+ },
681
+ {
682
+ "epoch": 0.47848134182811075,
683
+ "grad_norm": 1.62021803855896,
684
+ "learning_rate": 7.11921608367689e-05,
685
+ "loss": 0.9535123825073242,
686
+ "step": 460
687
+ },
688
+ {
689
+ "epoch": 0.4836822259784163,
690
+ "grad_norm": 1.6786726713180542,
691
+ "learning_rate": 7.09803778678946e-05,
692
+ "loss": 0.9362807273864746,
693
+ "step": 465
694
+ },
695
+ {
696
+ "epoch": 0.4888831101287219,
697
+ "grad_norm": 1.602408528327942,
698
+ "learning_rate": 7.076640191601113e-05,
699
+ "loss": 0.9352068901062012,
700
+ "step": 470
701
+ },
702
+ {
703
+ "epoch": 0.49408399427902744,
704
+ "grad_norm": 1.710305094718933,
705
+ "learning_rate": 7.055024812766153e-05,
706
+ "loss": 0.9479847908020019,
707
+ "step": 475
708
+ },
709
+ {
710
+ "epoch": 0.499284878429333,
711
+ "grad_norm": 1.7393652200698853,
712
+ "learning_rate": 7.03319318035496e-05,
713
+ "loss": 0.9210905075073242,
714
+ "step": 480
715
+ },
716
+ {
717
+ "epoch": 0.5044857625796385,
718
+ "grad_norm": 1.6267069578170776,
719
+ "learning_rate": 7.011146839745681e-05,
720
+ "loss": 0.935267448425293,
721
+ "step": 485
722
+ },
723
+ {
724
+ "epoch": 0.5096866467299441,
725
+ "grad_norm": 1.5649526119232178,
726
+ "learning_rate": 6.98888735151484e-05,
727
+ "loss": 0.950043773651123,
728
+ "step": 490
729
+ },
730
+ {
731
+ "epoch": 0.5148875308802496,
732
+ "grad_norm": 1.7210514545440674,
733
+ "learning_rate": 6.966416291326867e-05,
734
+ "loss": 0.9338683128356934,
735
+ "step": 495
736
+ },
737
+ {
738
+ "epoch": 0.5200884150305551,
739
+ "grad_norm": 1.7836523056030273,
740
+ "learning_rate": 6.943735249822567e-05,
741
+ "loss": 0.9206833839416504,
742
+ "step": 500
743
+ },
744
+ {
745
+ "epoch": 0.5200884150305551,
746
+ "eval_loss": 0.9551063776016235,
747
+ "eval_runtime": 130.2472,
748
+ "eval_samples_per_second": 1.965,
749
+ "eval_steps_per_second": 1.965,
750
+ "step": 500
751
+ },
752
+ {
753
+ "epoch": 0.5252892991808608,
754
+ "grad_norm": 1.6640737056732178,
755
+ "learning_rate": 6.920845832506523e-05,
756
+ "loss": 0.9343124389648437,
757
+ "step": 505
758
+ },
759
+ {
760
+ "epoch": 0.5304901833311663,
761
+ "grad_norm": 1.5780658721923828,
762
+ "learning_rate": 6.897749659633448e-05,
763
+ "loss": 0.9712604522705078,
764
+ "step": 510
765
+ },
766
+ {
767
+ "epoch": 0.5356910674814719,
768
+ "grad_norm": 1.6826986074447632,
769
+ "learning_rate": 6.874448366093497e-05,
770
+ "loss": 0.9570392608642578,
771
+ "step": 515
772
+ },
773
+ {
774
+ "epoch": 0.5408919516317774,
775
+ "grad_norm": 1.6517504453659058,
776
+ "learning_rate": 6.850943601296529e-05,
777
+ "loss": 0.9325905799865722,
778
+ "step": 520
779
+ },
780
+ {
781
+ "epoch": 0.546092835782083,
782
+ "grad_norm": 1.8107248544692993,
783
+ "learning_rate": 6.827237029055364e-05,
784
+ "loss": 0.9377958297729492,
785
+ "step": 525
786
+ },
787
+ {
788
+ "epoch": 0.5512937199323885,
789
+ "grad_norm": 1.6924495697021484,
790
+ "learning_rate": 6.803330327468006e-05,
791
+ "loss": 0.9227448463439941,
792
+ "step": 530
793
+ },
794
+ {
795
+ "epoch": 0.556494604082694,
796
+ "grad_norm": 1.6941320896148682,
797
+ "learning_rate": 6.779225188798846e-05,
798
+ "loss": 0.9221724510192871,
799
+ "step": 535
800
+ },
801
+ {
802
+ "epoch": 0.5616954882329996,
803
+ "grad_norm": 1.605466604232788,
804
+ "learning_rate": 6.754923319358883e-05,
805
+ "loss": 0.9474879264831543,
806
+ "step": 540
807
+ },
808
+ {
809
+ "epoch": 0.5668963723833051,
810
+ "grad_norm": 1.6994117498397827,
811
+ "learning_rate": 6.730426439384939e-05,
812
+ "loss": 0.9544130325317383,
813
+ "step": 545
814
+ },
815
+ {
816
+ "epoch": 0.5720972565336108,
817
+ "grad_norm": 1.6269444227218628,
818
+ "learning_rate": 6.705736282917892e-05,
819
+ "loss": 0.8944686889648438,
820
+ "step": 550
821
+ },
822
+ {
823
+ "epoch": 0.5772981406839163,
824
+ "grad_norm": 1.7221931219100952,
825
+ "learning_rate": 6.680854597679924e-05,
826
+ "loss": 0.9075075149536133,
827
+ "step": 555
828
+ },
829
+ {
830
+ "epoch": 0.5824990248342218,
831
+ "grad_norm": 1.7379156351089478,
832
+ "learning_rate": 6.655783144950809e-05,
833
+ "loss": 0.9554330825805664,
834
+ "step": 560
835
+ },
836
+ {
837
+ "epoch": 0.5876999089845274,
838
+ "grad_norm": 1.7438715696334839,
839
+ "learning_rate": 6.63052369944324e-05,
840
+ "loss": 0.9195778846740723,
841
+ "step": 565
842
+ },
843
+ {
844
+ "epoch": 0.5929007931348329,
845
+ "grad_norm": 1.6393606662750244,
846
+ "learning_rate": 6.605078049177205e-05,
847
+ "loss": 0.915708065032959,
848
+ "step": 570
849
+ },
850
+ {
851
+ "epoch": 0.5981016772851385,
852
+ "grad_norm": 1.7054882049560547,
853
+ "learning_rate": 6.579447995353416e-05,
854
+ "loss": 0.9384199142456054,
855
+ "step": 575
856
+ },
857
+ {
858
+ "epoch": 0.603302561435444,
859
+ "grad_norm": 1.5726091861724854,
860
+ "learning_rate": 6.553635352225812e-05,
861
+ "loss": 0.9182180404663086,
862
+ "step": 580
863
+ },
864
+ {
865
+ "epoch": 0.6085034455857495,
866
+ "grad_norm": 1.827543020248413,
867
+ "learning_rate": 6.52764194697313e-05,
868
+ "loss": 0.9172782897949219,
869
+ "step": 585
870
+ },
871
+ {
872
+ "epoch": 0.6137043297360552,
873
+ "grad_norm": 1.541303038597107,
874
+ "learning_rate": 6.501469619569579e-05,
875
+ "loss": 0.9366864204406739,
876
+ "step": 590
877
+ },
878
+ {
879
+ "epoch": 0.6189052138863607,
880
+ "grad_norm": 1.6896532773971558,
881
+ "learning_rate": 6.475120222654573e-05,
882
+ "loss": 0.91693115234375,
883
+ "step": 595
884
+ },
885
+ {
886
+ "epoch": 0.6241060980366663,
887
+ "grad_norm": 1.8263614177703857,
888
+ "learning_rate": 6.448595621401615e-05,
889
+ "loss": 0.9207332611083985,
890
+ "step": 600
891
+ },
892
+ {
893
+ "epoch": 0.6241060980366663,
894
+ "eval_loss": 0.9301373958587646,
895
+ "eval_runtime": 129.9867,
896
+ "eval_samples_per_second": 1.969,
897
+ "eval_steps_per_second": 1.969,
898
+ "step": 600
899
+ }
900
+ ],
901
+ "logging_steps": 5,
902
+ "max_steps": 1924,
903
+ "num_input_tokens_seen": 0,
904
+ "num_train_epochs": 2,
905
+ "save_steps": 100,
906
+ "stateful_callbacks": {
907
+ "TrainerControl": {
908
+ "args": {
909
+ "should_epoch_stop": false,
910
+ "should_evaluate": false,
911
+ "should_log": false,
912
+ "should_save": true,
913
+ "should_training_stop": false
914
+ },
915
+ "attributes": {}
916
+ }
917
+ },
918
+ "total_flos": 1.6288333456503767e+18,
919
+ "train_batch_size": 1,
920
+ "trial_name": null,
921
+ "trial_params": null
922
+ }
checkpoint-600/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fda9eca81350d33d7afd002b0486cfbb31f4b6481ffe7100ba3796331272c0ae
3
+ size 5201