End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +861 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: apache-2.0
|
|
4 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
5 |
tags:
|
6 |
- llama-factory
|
|
|
7 |
- generated_from_trainer
|
8 |
model-index:
|
9 |
- name: d1_code_python_0.3k
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# d1_code_python_0.3k
|
17 |
|
18 |
-
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on
|
19 |
|
20 |
## Model description
|
21 |
|
|
|
4 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
5 |
tags:
|
6 |
- llama-factory
|
7 |
+
- full
|
8 |
- generated_from_trainer
|
9 |
model-index:
|
10 |
- name: d1_code_python_0.3k
|
|
|
16 |
|
17 |
# d1_code_python_0.3k
|
18 |
|
19 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/d1_code_python_0.3k dataset.
|
20 |
|
21 |
## Model description
|
22 |
|
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 12.30379746835443,
|
3 |
+
"total_flos": 1.4604243583369216e+17,
|
4 |
+
"train_loss": 0.4960343405986444,
|
5 |
+
"train_runtime": 5639.6715,
|
6 |
+
"train_samples_per_second": 0.728,
|
7 |
+
"train_steps_per_second": 0.021
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 12.30379746835443,
|
3 |
+
"total_flos": 1.4604243583369216e+17,
|
4 |
+
"train_loss": 0.4960343405986444,
|
5 |
+
"train_runtime": 5639.6715,
|
6 |
+
"train_samples_per_second": 0.728,
|
7 |
+
"train_steps_per_second": 0.021
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,861 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 12.30379746835443,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 117,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.10126582278481013,
|
13 |
+
"grad_norm": 6.510182371085828,
|
14 |
+
"learning_rate": 8.333333333333333e-07,
|
15 |
+
"loss": 1.0254,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.20253164556962025,
|
20 |
+
"grad_norm": 6.582519572663169,
|
21 |
+
"learning_rate": 1.6666666666666667e-06,
|
22 |
+
"loss": 1.0615,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.3037974683544304,
|
27 |
+
"grad_norm": 6.439926344599413,
|
28 |
+
"learning_rate": 2.5e-06,
|
29 |
+
"loss": 1.0233,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.4050632911392405,
|
34 |
+
"grad_norm": 5.972809082275395,
|
35 |
+
"learning_rate": 3.3333333333333333e-06,
|
36 |
+
"loss": 1.0127,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.5063291139240507,
|
41 |
+
"grad_norm": 4.602197291511798,
|
42 |
+
"learning_rate": 4.166666666666667e-06,
|
43 |
+
"loss": 1.0077,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.6075949367088608,
|
48 |
+
"grad_norm": 2.8010233443393284,
|
49 |
+
"learning_rate": 5e-06,
|
50 |
+
"loss": 0.9553,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.7088607594936709,
|
55 |
+
"grad_norm": 2.5653132093327526,
|
56 |
+
"learning_rate": 5.833333333333334e-06,
|
57 |
+
"loss": 0.9506,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.810126582278481,
|
62 |
+
"grad_norm": 3.6845492435295926,
|
63 |
+
"learning_rate": 6.666666666666667e-06,
|
64 |
+
"loss": 0.9288,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.9113924050632911,
|
69 |
+
"grad_norm": 3.8303998000371537,
|
70 |
+
"learning_rate": 7.500000000000001e-06,
|
71 |
+
"loss": 0.9344,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 1.0506329113924051,
|
76 |
+
"grad_norm": 3.9530795691038776,
|
77 |
+
"learning_rate": 8.333333333333334e-06,
|
78 |
+
"loss": 0.9483,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 1.1518987341772151,
|
83 |
+
"grad_norm": 3.6754332872546827,
|
84 |
+
"learning_rate": 9.166666666666666e-06,
|
85 |
+
"loss": 0.8686,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.2531645569620253,
|
90 |
+
"grad_norm": 3.17872223589038,
|
91 |
+
"learning_rate": 1e-05,
|
92 |
+
"loss": 0.8883,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 1.3544303797468356,
|
97 |
+
"grad_norm": 2.257441129284527,
|
98 |
+
"learning_rate": 9.997762161417517e-06,
|
99 |
+
"loss": 0.8377,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 1.4556962025316456,
|
104 |
+
"grad_norm": 1.6781500127358915,
|
105 |
+
"learning_rate": 9.991050648838676e-06,
|
106 |
+
"loss": 0.8419,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 1.5569620253164556,
|
111 |
+
"grad_norm": 1.5404794138317974,
|
112 |
+
"learning_rate": 9.979871469976197e-06,
|
113 |
+
"loss": 0.7982,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 1.6582278481012658,
|
118 |
+
"grad_norm": 1.4609784124872685,
|
119 |
+
"learning_rate": 9.964234631709188e-06,
|
120 |
+
"loss": 0.7941,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 1.759493670886076,
|
125 |
+
"grad_norm": 1.2668462650796093,
|
126 |
+
"learning_rate": 9.944154131125643e-06,
|
127 |
+
"loss": 0.8057,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.8607594936708862,
|
132 |
+
"grad_norm": 1.1212028554497055,
|
133 |
+
"learning_rate": 9.91964794299315e-06,
|
134 |
+
"loss": 0.7861,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 1.9620253164556962,
|
139 |
+
"grad_norm": 1.0895633195883203,
|
140 |
+
"learning_rate": 9.890738003669029e-06,
|
141 |
+
"loss": 0.7739,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 2.1012658227848102,
|
146 |
+
"grad_norm": 1.2184960009998693,
|
147 |
+
"learning_rate": 9.857450191464337e-06,
|
148 |
+
"loss": 0.7816,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 2.2025316455696204,
|
153 |
+
"grad_norm": 0.9113579935395382,
|
154 |
+
"learning_rate": 9.819814303479268e-06,
|
155 |
+
"loss": 0.7302,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 2.3037974683544302,
|
160 |
+
"grad_norm": 0.9613622768105424,
|
161 |
+
"learning_rate": 9.777864028930705e-06,
|
162 |
+
"loss": 0.725,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 2.4050632911392404,
|
167 |
+
"grad_norm": 0.9117445192159501,
|
168 |
+
"learning_rate": 9.731636918995821e-06,
|
169 |
+
"loss": 0.7069,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 2.5063291139240507,
|
174 |
+
"grad_norm": 0.8312878328461633,
|
175 |
+
"learning_rate": 9.681174353198687e-06,
|
176 |
+
"loss": 0.7035,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 2.607594936708861,
|
181 |
+
"grad_norm": 0.9916032484533054,
|
182 |
+
"learning_rate": 9.626521502369984e-06,
|
183 |
+
"loss": 0.7033,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 2.708860759493671,
|
188 |
+
"grad_norm": 0.9928831167360924,
|
189 |
+
"learning_rate": 9.567727288213005e-06,
|
190 |
+
"loss": 0.6926,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 2.810126582278481,
|
195 |
+
"grad_norm": 0.8409145181859952,
|
196 |
+
"learning_rate": 9.504844339512096e-06,
|
197 |
+
"loss": 0.6847,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 2.911392405063291,
|
202 |
+
"grad_norm": 0.9775428741516501,
|
203 |
+
"learning_rate": 9.437928945022772e-06,
|
204 |
+
"loss": 0.6755,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 3.050632911392405,
|
209 |
+
"grad_norm": 0.9506685442972472,
|
210 |
+
"learning_rate": 9.36704100308565e-06,
|
211 |
+
"loss": 0.651,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 3.151898734177215,
|
216 |
+
"grad_norm": 0.8313006068527614,
|
217 |
+
"learning_rate": 9.292243968009332e-06,
|
218 |
+
"loss": 0.6295,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 3.2531645569620253,
|
223 |
+
"grad_norm": 0.7568739262612543,
|
224 |
+
"learning_rate": 9.213604793270196e-06,
|
225 |
+
"loss": 0.6384,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 3.3544303797468356,
|
230 |
+
"grad_norm": 0.7271242122850091,
|
231 |
+
"learning_rate": 9.131193871579975e-06,
|
232 |
+
"loss": 0.6182,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 3.4556962025316453,
|
237 |
+
"grad_norm": 0.856442566145437,
|
238 |
+
"learning_rate": 9.045084971874738e-06,
|
239 |
+
"loss": 0.6218,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 3.5569620253164556,
|
244 |
+
"grad_norm": 0.7325069492546041,
|
245 |
+
"learning_rate": 8.955355173281709e-06,
|
246 |
+
"loss": 0.6392,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 3.6582278481012658,
|
251 |
+
"grad_norm": 0.6212352610421124,
|
252 |
+
"learning_rate": 8.862084796122998e-06,
|
253 |
+
"loss": 0.6261,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 3.759493670886076,
|
258 |
+
"grad_norm": 0.6060071335148768,
|
259 |
+
"learning_rate": 8.765357330018056e-06,
|
260 |
+
"loss": 0.6191,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 3.8607594936708862,
|
265 |
+
"grad_norm": 0.7261156434422802,
|
266 |
+
"learning_rate": 8.665259359149132e-06,
|
267 |
+
"loss": 0.6017,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 3.962025316455696,
|
272 |
+
"grad_norm": 0.6385843742159706,
|
273 |
+
"learning_rate": 8.561880484756726e-06,
|
274 |
+
"loss": 0.5768,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 4.10126582278481,
|
279 |
+
"grad_norm": 0.6916129236848202,
|
280 |
+
"learning_rate": 8.455313244934324e-06,
|
281 |
+
"loss": 0.5861,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 4.2025316455696204,
|
286 |
+
"grad_norm": 0.7106132988519652,
|
287 |
+
"learning_rate": 8.345653031794292e-06,
|
288 |
+
"loss": 0.5407,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 4.30379746835443,
|
293 |
+
"grad_norm": 0.7480939531051924,
|
294 |
+
"learning_rate": 8.232998006078998e-06,
|
295 |
+
"loss": 0.5468,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 4.405063291139241,
|
300 |
+
"grad_norm": 0.7086578813899572,
|
301 |
+
"learning_rate": 8.117449009293668e-06,
|
302 |
+
"loss": 0.5338,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 4.506329113924051,
|
307 |
+
"grad_norm": 0.7279031845614357,
|
308 |
+
"learning_rate": 7.99910947343957e-06,
|
309 |
+
"loss": 0.5302,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 4.6075949367088604,
|
314 |
+
"grad_norm": 0.6690060641268204,
|
315 |
+
"learning_rate": 7.87808532842837e-06,
|
316 |
+
"loss": 0.5381,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 4.708860759493671,
|
321 |
+
"grad_norm": 0.6948889915997236,
|
322 |
+
"learning_rate": 7.754484907260513e-06,
|
323 |
+
"loss": 0.543,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 4.810126582278481,
|
328 |
+
"grad_norm": 0.7208712747592547,
|
329 |
+
"learning_rate": 7.628418849052523e-06,
|
330 |
+
"loss": 0.531,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 4.911392405063291,
|
335 |
+
"grad_norm": 0.6854554288239998,
|
336 |
+
"learning_rate": 7.500000000000001e-06,
|
337 |
+
"loss": 0.5137,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 5.050632911392405,
|
342 |
+
"grad_norm": 0.6277143980877257,
|
343 |
+
"learning_rate": 7.369343312364994e-06,
|
344 |
+
"loss": 0.5208,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 5.151898734177215,
|
349 |
+
"grad_norm": 0.6242139030107925,
|
350 |
+
"learning_rate": 7.236565741578163e-06,
|
351 |
+
"loss": 0.5051,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 5.253164556962025,
|
356 |
+
"grad_norm": 0.6321974143138194,
|
357 |
+
"learning_rate": 7.101786141547829e-06,
|
358 |
+
"loss": 0.4982,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 5.3544303797468356,
|
363 |
+
"grad_norm": 0.5990215427199195,
|
364 |
+
"learning_rate": 6.965125158269619e-06,
|
365 |
+
"loss": 0.4771,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 5.455696202531645,
|
370 |
+
"grad_norm": 1.7354372122871062,
|
371 |
+
"learning_rate": 6.8267051218319766e-06,
|
372 |
+
"loss": 0.4436,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 5.556962025316456,
|
377 |
+
"grad_norm": 0.6968566611534831,
|
378 |
+
"learning_rate": 6.686649936914151e-06,
|
379 |
+
"loss": 0.474,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 5.658227848101266,
|
384 |
+
"grad_norm": 0.5981548758044577,
|
385 |
+
"learning_rate": 6.545084971874738e-06,
|
386 |
+
"loss": 0.4713,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 5.759493670886076,
|
391 |
+
"grad_norm": 0.5729606799998556,
|
392 |
+
"learning_rate": 6.402136946530014e-06,
|
393 |
+
"loss": 0.4784,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 5.860759493670886,
|
398 |
+
"grad_norm": 0.6472290900219629,
|
399 |
+
"learning_rate": 6.257933818722544e-06,
|
400 |
+
"loss": 0.4645,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 5.962025316455696,
|
405 |
+
"grad_norm": 0.5948606146175702,
|
406 |
+
"learning_rate": 6.112604669781572e-06,
|
407 |
+
"loss": 0.435,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 6.10126582278481,
|
412 |
+
"grad_norm": 0.6062015199519869,
|
413 |
+
"learning_rate": 5.9662795889777666e-06,
|
414 |
+
"loss": 0.4224,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 6.2025316455696204,
|
419 |
+
"grad_norm": 0.5678771527556095,
|
420 |
+
"learning_rate": 5.819089557075689e-06,
|
421 |
+
"loss": 0.391,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 6.30379746835443,
|
426 |
+
"grad_norm": 0.5643870535447468,
|
427 |
+
"learning_rate": 5.671166329088278e-06,
|
428 |
+
"loss": 0.3995,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 6.405063291139241,
|
433 |
+
"grad_norm": 0.6505444129923155,
|
434 |
+
"learning_rate": 5.522642316338268e-06,
|
435 |
+
"loss": 0.4284,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 6.506329113924051,
|
440 |
+
"grad_norm": 0.5635394638042144,
|
441 |
+
"learning_rate": 5.373650467932122e-06,
|
442 |
+
"loss": 0.4187,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 6.6075949367088604,
|
447 |
+
"grad_norm": 0.560890503698802,
|
448 |
+
"learning_rate": 5.224324151752575e-06,
|
449 |
+
"loss": 0.3896,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 6.708860759493671,
|
454 |
+
"grad_norm": 0.5654352981703814,
|
455 |
+
"learning_rate": 5.074797035076319e-06,
|
456 |
+
"loss": 0.418,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 6.810126582278481,
|
461 |
+
"grad_norm": 0.5508748469379801,
|
462 |
+
"learning_rate": 4.9252029649236835e-06,
|
463 |
+
"loss": 0.3848,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 6.911392405063291,
|
468 |
+
"grad_norm": 0.5408750732924548,
|
469 |
+
"learning_rate": 4.775675848247427e-06,
|
470 |
+
"loss": 0.431,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 7.050632911392405,
|
475 |
+
"grad_norm": 0.620416773909927,
|
476 |
+
"learning_rate": 4.626349532067879e-06,
|
477 |
+
"loss": 0.3875,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 7.151898734177215,
|
482 |
+
"grad_norm": 0.5325810639552746,
|
483 |
+
"learning_rate": 4.477357683661734e-06,
|
484 |
+
"loss": 0.3699,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 7.253164556962025,
|
489 |
+
"grad_norm": 0.6317958512380395,
|
490 |
+
"learning_rate": 4.3288336709117246e-06,
|
491 |
+
"loss": 0.3672,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 7.3544303797468356,
|
496 |
+
"grad_norm": 0.5973649463281437,
|
497 |
+
"learning_rate": 4.180910442924312e-06,
|
498 |
+
"loss": 0.3686,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 7.455696202531645,
|
503 |
+
"grad_norm": 0.640215648359906,
|
504 |
+
"learning_rate": 4.033720411022235e-06,
|
505 |
+
"loss": 0.3808,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 7.556962025316456,
|
510 |
+
"grad_norm": 0.6358373173748053,
|
511 |
+
"learning_rate": 3.887395330218429e-06,
|
512 |
+
"loss": 0.3137,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 7.658227848101266,
|
517 |
+
"grad_norm": 0.516809428787874,
|
518 |
+
"learning_rate": 3.7420661812774577e-06,
|
519 |
+
"loss": 0.3268,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 7.759493670886076,
|
524 |
+
"grad_norm": 0.5945930461577688,
|
525 |
+
"learning_rate": 3.5978630534699873e-06,
|
526 |
+
"loss": 0.3227,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 7.860759493670886,
|
531 |
+
"grad_norm": 0.6475883531606954,
|
532 |
+
"learning_rate": 3.4549150281252635e-06,
|
533 |
+
"loss": 0.3551,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 7.962025316455696,
|
538 |
+
"grad_norm": 0.5223327632443411,
|
539 |
+
"learning_rate": 3.3133500630858507e-06,
|
540 |
+
"loss": 0.3877,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 8.10126582278481,
|
545 |
+
"grad_norm": 0.8278278517893417,
|
546 |
+
"learning_rate": 3.173294878168025e-06,
|
547 |
+
"loss": 0.3114,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 8.20253164556962,
|
552 |
+
"grad_norm": 0.6008938273549477,
|
553 |
+
"learning_rate": 3.0348748417303826e-06,
|
554 |
+
"loss": 0.2946,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 8.30379746835443,
|
559 |
+
"grad_norm": 0.5456830308100099,
|
560 |
+
"learning_rate": 2.8982138584521734e-06,
|
561 |
+
"loss": 0.2876,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 8.405063291139241,
|
566 |
+
"grad_norm": 0.8456374983441585,
|
567 |
+
"learning_rate": 2.7634342584218364e-06,
|
568 |
+
"loss": 0.3127,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 8.50632911392405,
|
573 |
+
"grad_norm": 0.6413765752016471,
|
574 |
+
"learning_rate": 2.6306566876350072e-06,
|
575 |
+
"loss": 0.304,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 8.60759493670886,
|
580 |
+
"grad_norm": 0.6031440656934118,
|
581 |
+
"learning_rate": 2.5000000000000015e-06,
|
582 |
+
"loss": 0.3259,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 8.708860759493671,
|
587 |
+
"grad_norm": 0.7343855532018921,
|
588 |
+
"learning_rate": 2.371581150947476e-06,
|
589 |
+
"loss": 0.31,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 8.810126582278482,
|
594 |
+
"grad_norm": 0.5928960933959891,
|
595 |
+
"learning_rate": 2.245515092739488e-06,
|
596 |
+
"loss": 0.3248,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 8.91139240506329,
|
601 |
+
"grad_norm": 0.5308978538628125,
|
602 |
+
"learning_rate": 2.1219146715716332e-06,
|
603 |
+
"loss": 0.3359,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 9.050632911392405,
|
608 |
+
"grad_norm": 0.5773567652739116,
|
609 |
+
"learning_rate": 2.0008905265604316e-06,
|
610 |
+
"loss": 0.3083,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 9.151898734177216,
|
615 |
+
"grad_norm": 0.5711312934180898,
|
616 |
+
"learning_rate": 1.8825509907063328e-06,
|
617 |
+
"loss": 0.2697,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 9.253164556962025,
|
622 |
+
"grad_norm": 0.5539311689276141,
|
623 |
+
"learning_rate": 1.7670019939210025e-06,
|
624 |
+
"loss": 0.294,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 9.354430379746836,
|
629 |
+
"grad_norm": 0.45661281193329273,
|
630 |
+
"learning_rate": 1.6543469682057105e-06,
|
631 |
+
"loss": 0.2649,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 9.455696202531646,
|
636 |
+
"grad_norm": 0.5146940575488416,
|
637 |
+
"learning_rate": 1.544686755065677e-06,
|
638 |
+
"loss": 0.2425,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 9.556962025316455,
|
643 |
+
"grad_norm": 0.5595025576450177,
|
644 |
+
"learning_rate": 1.438119515243277e-06,
|
645 |
+
"loss": 0.2892,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 9.658227848101266,
|
650 |
+
"grad_norm": 0.5104504157471689,
|
651 |
+
"learning_rate": 1.3347406408508695e-06,
|
652 |
+
"loss": 0.3171,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 9.759493670886076,
|
657 |
+
"grad_norm": 0.5196226513675396,
|
658 |
+
"learning_rate": 1.234642669981946e-06,
|
659 |
+
"loss": 0.2762,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 9.860759493670885,
|
664 |
+
"grad_norm": 0.48804039512189956,
|
665 |
+
"learning_rate": 1.137915203877003e-06,
|
666 |
+
"loss": 0.3063,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 9.962025316455696,
|
671 |
+
"grad_norm": 0.5358391820467538,
|
672 |
+
"learning_rate": 1.044644826718295e-06,
|
673 |
+
"loss": 0.2458,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 10.10126582278481,
|
678 |
+
"grad_norm": 0.5340150707476744,
|
679 |
+
"learning_rate": 9.549150281252633e-07,
|
680 |
+
"loss": 0.266,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 10.20253164556962,
|
685 |
+
"grad_norm": 0.5408390552485048,
|
686 |
+
"learning_rate": 8.688061284200266e-07,
|
687 |
+
"loss": 0.2791,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 10.30379746835443,
|
692 |
+
"grad_norm": 0.4565054778666042,
|
693 |
+
"learning_rate": 7.863952067298042e-07,
|
694 |
+
"loss": 0.261,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 10.405063291139241,
|
699 |
+
"grad_norm": 0.4802683080342892,
|
700 |
+
"learning_rate": 7.077560319906696e-07,
|
701 |
+
"loss": 0.2577,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 10.50632911392405,
|
706 |
+
"grad_norm": 0.582414487366,
|
707 |
+
"learning_rate": 6.329589969143518e-07,
|
708 |
+
"loss": 0.2413,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 10.60759493670886,
|
713 |
+
"grad_norm": 0.5561800241224305,
|
714 |
+
"learning_rate": 5.620710549772295e-07,
|
715 |
+
"loss": 0.2618,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 10.708860759493671,
|
720 |
+
"grad_norm": 0.5065607848893391,
|
721 |
+
"learning_rate": 4.951556604879049e-07,
|
722 |
+
"loss": 0.2802,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 10.810126582278482,
|
727 |
+
"grad_norm": 0.46978401924242125,
|
728 |
+
"learning_rate": 4.322727117869951e-07,
|
729 |
+
"loss": 0.2549,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 10.91139240506329,
|
734 |
+
"grad_norm": 0.4572900759658637,
|
735 |
+
"learning_rate": 3.734784976300165e-07,
|
736 |
+
"loss": 0.2724,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 11.050632911392405,
|
741 |
+
"grad_norm": 0.4597116071430204,
|
742 |
+
"learning_rate": 3.18825646801314e-07,
|
743 |
+
"loss": 0.2767,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 11.151898734177216,
|
748 |
+
"grad_norm": 0.4755583179520235,
|
749 |
+
"learning_rate": 2.6836308100417874e-07,
|
750 |
+
"loss": 0.2222,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 11.253164556962025,
|
755 |
+
"grad_norm": 0.5008252269446787,
|
756 |
+
"learning_rate": 2.2213597106929608e-07,
|
757 |
+
"loss": 0.2463,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 11.354430379746836,
|
762 |
+
"grad_norm": 0.51617432630608,
|
763 |
+
"learning_rate": 1.801856965207338e-07,
|
764 |
+
"loss": 0.249,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 11.455696202531646,
|
769 |
+
"grad_norm": 0.5072194229856675,
|
770 |
+
"learning_rate": 1.4254980853566248e-07,
|
771 |
+
"loss": 0.242,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 11.556962025316455,
|
776 |
+
"grad_norm": 0.5067506460554636,
|
777 |
+
"learning_rate": 1.0926199633097156e-07,
|
778 |
+
"loss": 0.2592,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 11.658227848101266,
|
783 |
+
"grad_norm": 0.4361130649466016,
|
784 |
+
"learning_rate": 8.035205700685167e-08,
|
785 |
+
"loss": 0.2628,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 11.759493670886076,
|
790 |
+
"grad_norm": 0.4578810256403724,
|
791 |
+
"learning_rate": 5.584586887435739e-08,
|
792 |
+
"loss": 0.2767,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 11.860759493670885,
|
797 |
+
"grad_norm": 0.4314537549718583,
|
798 |
+
"learning_rate": 3.576536829081323e-08,
|
799 |
+
"loss": 0.2754,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 11.962025316455696,
|
804 |
+
"grad_norm": 0.43931457751789277,
|
805 |
+
"learning_rate": 2.012853002380466e-08,
|
806 |
+
"loss": 0.2452,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 12.10126582278481,
|
811 |
+
"grad_norm": 0.42276342119184573,
|
812 |
+
"learning_rate": 8.949351161324227e-09,
|
813 |
+
"loss": 0.2186,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 12.20253164556962,
|
818 |
+
"grad_norm": 0.4337722002133534,
|
819 |
+
"learning_rate": 2.237838582483387e-09,
|
820 |
+
"loss": 0.2391,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 12.30379746835443,
|
825 |
+
"grad_norm": 0.4278352688615393,
|
826 |
+
"learning_rate": 0.0,
|
827 |
+
"loss": 0.2651,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 12.30379746835443,
|
832 |
+
"step": 117,
|
833 |
+
"total_flos": 1.4604243583369216e+17,
|
834 |
+
"train_loss": 0.4960343405986444,
|
835 |
+
"train_runtime": 5639.6715,
|
836 |
+
"train_samples_per_second": 0.728,
|
837 |
+
"train_steps_per_second": 0.021
|
838 |
+
}
|
839 |
+
],
|
840 |
+
"logging_steps": 1,
|
841 |
+
"max_steps": 117,
|
842 |
+
"num_input_tokens_seen": 0,
|
843 |
+
"num_train_epochs": 13,
|
844 |
+
"save_steps": 500,
|
845 |
+
"stateful_callbacks": {
|
846 |
+
"TrainerControl": {
|
847 |
+
"args": {
|
848 |
+
"should_epoch_stop": false,
|
849 |
+
"should_evaluate": false,
|
850 |
+
"should_log": false,
|
851 |
+
"should_save": true,
|
852 |
+
"should_training_stop": true
|
853 |
+
},
|
854 |
+
"attributes": {}
|
855 |
+
}
|
856 |
+
},
|
857 |
+
"total_flos": 1.4604243583369216e+17,
|
858 |
+
"train_batch_size": 1,
|
859 |
+
"trial_name": null,
|
860 |
+
"trial_params": null
|
861 |
+
}
|
training_loss.png
ADDED
![]() |