End of training
Browse files- README.md +2 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +906 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: llama3.1
|
|
4 |
base_model: meta-llama/Llama-3.1-8B
|
5 |
tags:
|
6 |
- llama-factory
|
|
|
7 |
- generated_from_trainer
|
8 |
model-index:
|
9 |
- name: oh-dcft-v1-no-curation
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# oh-dcft-v1-no-curation
|
17 |
|
18 |
-
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on
|
19 |
It achieves the following results on the evaluation set:
|
20 |
- Loss: 0.5306
|
21 |
|
|
|
4 |
base_model: meta-llama/Llama-3.1-8B
|
5 |
tags:
|
6 |
- llama-factory
|
7 |
+
- full
|
8 |
- generated_from_trainer
|
9 |
model-index:
|
10 |
- name: oh-dcft-v1-no-curation
|
|
|
16 |
|
17 |
# oh-dcft-v1-no-curation
|
18 |
|
19 |
+
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the mlfoundations-dev/oh-dcft-v1-no-curation-sharegpt-format dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
- Loss: 0.5306
|
22 |
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.994385527136619,
|
3 |
+
"eval_loss": 0.5305783748626709,
|
4 |
+
"eval_runtime": 135.5906,
|
5 |
+
"eval_samples_per_second": 79.607,
|
6 |
+
"eval_steps_per_second": 0.627,
|
7 |
+
"total_flos": 2009625935216640.0,
|
8 |
+
"train_loss": 0.5358249799410502,
|
9 |
+
"train_runtime": 20182.0753,
|
10 |
+
"train_samples_per_second": 30.484,
|
11 |
+
"train_steps_per_second": 0.059
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.994385527136619,
|
3 |
+
"eval_loss": 0.5305783748626709,
|
4 |
+
"eval_runtime": 135.5906,
|
5 |
+
"eval_samples_per_second": 79.607,
|
6 |
+
"eval_steps_per_second": 0.627
|
7 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.994385527136619,
|
3 |
+
"total_flos": 2009625935216640.0,
|
4 |
+
"train_loss": 0.5358249799410502,
|
5 |
+
"train_runtime": 20182.0753,
|
6 |
+
"train_samples_per_second": 30.484,
|
7 |
+
"train_steps_per_second": 0.059
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,906 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.994385527136619,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1200,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.024953212726138492,
|
13 |
+
"grad_norm": 8.501412658362785,
|
14 |
+
"learning_rate": 5e-06,
|
15 |
+
"loss": 0.9043,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.049906425452276984,
|
20 |
+
"grad_norm": 4.686127489377169,
|
21 |
+
"learning_rate": 5e-06,
|
22 |
+
"loss": 0.7713,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.07485963817841547,
|
27 |
+
"grad_norm": 1.065750712888582,
|
28 |
+
"learning_rate": 5e-06,
|
29 |
+
"loss": 0.7261,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.09981285090455397,
|
34 |
+
"grad_norm": 1.1573725910946995,
|
35 |
+
"learning_rate": 5e-06,
|
36 |
+
"loss": 0.6939,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.12476606363069245,
|
41 |
+
"grad_norm": 1.0825665225776888,
|
42 |
+
"learning_rate": 5e-06,
|
43 |
+
"loss": 0.6773,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.14971927635683094,
|
48 |
+
"grad_norm": 0.8282989762012689,
|
49 |
+
"learning_rate": 5e-06,
|
50 |
+
"loss": 0.6551,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.17467248908296942,
|
55 |
+
"grad_norm": 0.8431312859314775,
|
56 |
+
"learning_rate": 5e-06,
|
57 |
+
"loss": 0.6458,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.19962570180910794,
|
62 |
+
"grad_norm": 0.7090142603822943,
|
63 |
+
"learning_rate": 5e-06,
|
64 |
+
"loss": 0.6379,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.22457891453524642,
|
69 |
+
"grad_norm": 0.6113443247263295,
|
70 |
+
"learning_rate": 5e-06,
|
71 |
+
"loss": 0.6258,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.2495321272613849,
|
76 |
+
"grad_norm": 0.5723628494735549,
|
77 |
+
"learning_rate": 5e-06,
|
78 |
+
"loss": 0.6294,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.2744853399875234,
|
83 |
+
"grad_norm": 0.5986798385585294,
|
84 |
+
"learning_rate": 5e-06,
|
85 |
+
"loss": 0.616,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.2994385527136619,
|
90 |
+
"grad_norm": 0.6703694452116971,
|
91 |
+
"learning_rate": 5e-06,
|
92 |
+
"loss": 0.61,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.32439176543980036,
|
97 |
+
"grad_norm": 0.48278079529549894,
|
98 |
+
"learning_rate": 5e-06,
|
99 |
+
"loss": 0.6088,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.34934497816593885,
|
104 |
+
"grad_norm": 0.5383252054302604,
|
105 |
+
"learning_rate": 5e-06,
|
106 |
+
"loss": 0.6097,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.37429819089207733,
|
111 |
+
"grad_norm": 0.5904470071991698,
|
112 |
+
"learning_rate": 5e-06,
|
113 |
+
"loss": 0.6053,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.39925140361821587,
|
118 |
+
"grad_norm": 0.5818363085286041,
|
119 |
+
"learning_rate": 5e-06,
|
120 |
+
"loss": 0.6014,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.42420461634435436,
|
125 |
+
"grad_norm": 0.6764973062341755,
|
126 |
+
"learning_rate": 5e-06,
|
127 |
+
"loss": 0.5993,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.44915782907049284,
|
132 |
+
"grad_norm": 0.6999555821582358,
|
133 |
+
"learning_rate": 5e-06,
|
134 |
+
"loss": 0.5991,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.4741110417966313,
|
139 |
+
"grad_norm": 0.7880847284498282,
|
140 |
+
"learning_rate": 5e-06,
|
141 |
+
"loss": 0.5961,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.4990642545227698,
|
146 |
+
"grad_norm": 0.7979122334833642,
|
147 |
+
"learning_rate": 5e-06,
|
148 |
+
"loss": 0.5916,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.5240174672489083,
|
153 |
+
"grad_norm": 0.5793813415501323,
|
154 |
+
"learning_rate": 5e-06,
|
155 |
+
"loss": 0.5921,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.5489706799750468,
|
160 |
+
"grad_norm": 0.5540868891147879,
|
161 |
+
"learning_rate": 5e-06,
|
162 |
+
"loss": 0.5806,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.5739238927011853,
|
167 |
+
"grad_norm": 0.5338207990715906,
|
168 |
+
"learning_rate": 5e-06,
|
169 |
+
"loss": 0.5851,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.5988771054273238,
|
174 |
+
"grad_norm": 0.5622641527094587,
|
175 |
+
"learning_rate": 5e-06,
|
176 |
+
"loss": 0.5848,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.6238303181534622,
|
181 |
+
"grad_norm": 0.5384076976816572,
|
182 |
+
"learning_rate": 5e-06,
|
183 |
+
"loss": 0.5791,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.6487835308796007,
|
188 |
+
"grad_norm": 0.6033419963307188,
|
189 |
+
"learning_rate": 5e-06,
|
190 |
+
"loss": 0.5842,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.6737367436057392,
|
195 |
+
"grad_norm": 0.5342190421176904,
|
196 |
+
"learning_rate": 5e-06,
|
197 |
+
"loss": 0.5802,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.6986899563318777,
|
202 |
+
"grad_norm": 0.5282395994026974,
|
203 |
+
"learning_rate": 5e-06,
|
204 |
+
"loss": 0.5769,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.7236431690580162,
|
209 |
+
"grad_norm": 0.6039215573643518,
|
210 |
+
"learning_rate": 5e-06,
|
211 |
+
"loss": 0.5811,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.7485963817841547,
|
216 |
+
"grad_norm": 0.5625470869148316,
|
217 |
+
"learning_rate": 5e-06,
|
218 |
+
"loss": 0.5748,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.7735495945102931,
|
223 |
+
"grad_norm": 0.6938197396793522,
|
224 |
+
"learning_rate": 5e-06,
|
225 |
+
"loss": 0.576,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.7985028072364317,
|
230 |
+
"grad_norm": 0.5199860087817598,
|
231 |
+
"learning_rate": 5e-06,
|
232 |
+
"loss": 0.5733,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.8234560199625702,
|
237 |
+
"grad_norm": 0.5347102211468582,
|
238 |
+
"learning_rate": 5e-06,
|
239 |
+
"loss": 0.5713,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.8484092326887087,
|
244 |
+
"grad_norm": 0.49920752644836863,
|
245 |
+
"learning_rate": 5e-06,
|
246 |
+
"loss": 0.5747,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.8733624454148472,
|
251 |
+
"grad_norm": 0.5742360043218735,
|
252 |
+
"learning_rate": 5e-06,
|
253 |
+
"loss": 0.5672,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.8983156581409857,
|
258 |
+
"grad_norm": 0.6082105330996729,
|
259 |
+
"learning_rate": 5e-06,
|
260 |
+
"loss": 0.5648,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.9232688708671242,
|
265 |
+
"grad_norm": 0.5296253264006645,
|
266 |
+
"learning_rate": 5e-06,
|
267 |
+
"loss": 0.5701,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.9482220835932627,
|
272 |
+
"grad_norm": 0.5862019120409135,
|
273 |
+
"learning_rate": 5e-06,
|
274 |
+
"loss": 0.5693,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.9731752963194011,
|
279 |
+
"grad_norm": 0.5004204006192343,
|
280 |
+
"learning_rate": 5e-06,
|
281 |
+
"loss": 0.5667,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.9981285090455396,
|
286 |
+
"grad_norm": 0.5111639493787322,
|
287 |
+
"learning_rate": 5e-06,
|
288 |
+
"loss": 0.5574,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.9981285090455396,
|
293 |
+
"eval_loss": 0.5630170702934265,
|
294 |
+
"eval_runtime": 136.6299,
|
295 |
+
"eval_samples_per_second": 79.002,
|
296 |
+
"eval_steps_per_second": 0.622,
|
297 |
+
"step": 400
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 1.023081721771678,
|
301 |
+
"grad_norm": 0.5280851311810567,
|
302 |
+
"learning_rate": 5e-06,
|
303 |
+
"loss": 0.5296,
|
304 |
+
"step": 410
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 1.0480349344978166,
|
308 |
+
"grad_norm": 0.8751970650854215,
|
309 |
+
"learning_rate": 5e-06,
|
310 |
+
"loss": 0.5324,
|
311 |
+
"step": 420
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 1.072988147223955,
|
315 |
+
"grad_norm": 0.5756582314387694,
|
316 |
+
"learning_rate": 5e-06,
|
317 |
+
"loss": 0.5245,
|
318 |
+
"step": 430
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 1.0979413599500936,
|
322 |
+
"grad_norm": 0.5619488808417233,
|
323 |
+
"learning_rate": 5e-06,
|
324 |
+
"loss": 0.5277,
|
325 |
+
"step": 440
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 1.122894572676232,
|
329 |
+
"grad_norm": 0.8057161437263283,
|
330 |
+
"learning_rate": 5e-06,
|
331 |
+
"loss": 0.5255,
|
332 |
+
"step": 450
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 1.1478477854023705,
|
336 |
+
"grad_norm": 0.581447349352516,
|
337 |
+
"learning_rate": 5e-06,
|
338 |
+
"loss": 0.5246,
|
339 |
+
"step": 460
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 1.172800998128509,
|
343 |
+
"grad_norm": 0.5907089920281934,
|
344 |
+
"learning_rate": 5e-06,
|
345 |
+
"loss": 0.5308,
|
346 |
+
"step": 470
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 1.1977542108546475,
|
350 |
+
"grad_norm": 0.527607335995899,
|
351 |
+
"learning_rate": 5e-06,
|
352 |
+
"loss": 0.5314,
|
353 |
+
"step": 480
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 1.222707423580786,
|
357 |
+
"grad_norm": 0.6625045440230309,
|
358 |
+
"learning_rate": 5e-06,
|
359 |
+
"loss": 0.5271,
|
360 |
+
"step": 490
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 1.2476606363069245,
|
364 |
+
"grad_norm": 0.49276396345156864,
|
365 |
+
"learning_rate": 5e-06,
|
366 |
+
"loss": 0.5307,
|
367 |
+
"step": 500
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 1.272613849033063,
|
371 |
+
"grad_norm": 0.47964009848881595,
|
372 |
+
"learning_rate": 5e-06,
|
373 |
+
"loss": 0.525,
|
374 |
+
"step": 510
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 1.2975670617592014,
|
378 |
+
"grad_norm": 0.6903279013904727,
|
379 |
+
"learning_rate": 5e-06,
|
380 |
+
"loss": 0.5173,
|
381 |
+
"step": 520
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 1.32252027448534,
|
385 |
+
"grad_norm": 0.6235250926674746,
|
386 |
+
"learning_rate": 5e-06,
|
387 |
+
"loss": 0.5241,
|
388 |
+
"step": 530
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 1.3474734872114784,
|
392 |
+
"grad_norm": 0.7115742016246728,
|
393 |
+
"learning_rate": 5e-06,
|
394 |
+
"loss": 0.5209,
|
395 |
+
"step": 540
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 1.372426699937617,
|
399 |
+
"grad_norm": 0.5305573388431144,
|
400 |
+
"learning_rate": 5e-06,
|
401 |
+
"loss": 0.527,
|
402 |
+
"step": 550
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 1.3973799126637554,
|
406 |
+
"grad_norm": 0.5804195692188839,
|
407 |
+
"learning_rate": 5e-06,
|
408 |
+
"loss": 0.5253,
|
409 |
+
"step": 560
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 1.4223331253898939,
|
413 |
+
"grad_norm": 0.49733338644989056,
|
414 |
+
"learning_rate": 5e-06,
|
415 |
+
"loss": 0.523,
|
416 |
+
"step": 570
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 1.4472863381160324,
|
420 |
+
"grad_norm": 0.5635813062598766,
|
421 |
+
"learning_rate": 5e-06,
|
422 |
+
"loss": 0.518,
|
423 |
+
"step": 580
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 1.472239550842171,
|
427 |
+
"grad_norm": 0.5233795326173047,
|
428 |
+
"learning_rate": 5e-06,
|
429 |
+
"loss": 0.5184,
|
430 |
+
"step": 590
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 1.4971927635683095,
|
434 |
+
"grad_norm": 0.5340519491855418,
|
435 |
+
"learning_rate": 5e-06,
|
436 |
+
"loss": 0.5199,
|
437 |
+
"step": 600
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 1.522145976294448,
|
441 |
+
"grad_norm": 0.6382502305796666,
|
442 |
+
"learning_rate": 5e-06,
|
443 |
+
"loss": 0.5152,
|
444 |
+
"step": 610
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 1.5470991890205865,
|
448 |
+
"grad_norm": 0.6114232456070381,
|
449 |
+
"learning_rate": 5e-06,
|
450 |
+
"loss": 0.5202,
|
451 |
+
"step": 620
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 1.572052401746725,
|
455 |
+
"grad_norm": 0.5267522341441786,
|
456 |
+
"learning_rate": 5e-06,
|
457 |
+
"loss": 0.5194,
|
458 |
+
"step": 630
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 1.5970056144728635,
|
462 |
+
"grad_norm": 0.49682168460425896,
|
463 |
+
"learning_rate": 5e-06,
|
464 |
+
"loss": 0.5235,
|
465 |
+
"step": 640
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 1.621958827199002,
|
469 |
+
"grad_norm": 0.5492682660691606,
|
470 |
+
"learning_rate": 5e-06,
|
471 |
+
"loss": 0.5224,
|
472 |
+
"step": 650
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 1.6469120399251405,
|
476 |
+
"grad_norm": 0.5160022677697064,
|
477 |
+
"learning_rate": 5e-06,
|
478 |
+
"loss": 0.5136,
|
479 |
+
"step": 660
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 1.671865252651279,
|
483 |
+
"grad_norm": 0.5108996597287156,
|
484 |
+
"learning_rate": 5e-06,
|
485 |
+
"loss": 0.5143,
|
486 |
+
"step": 670
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.6968184653774174,
|
490 |
+
"grad_norm": 0.5398052585347178,
|
491 |
+
"learning_rate": 5e-06,
|
492 |
+
"loss": 0.5142,
|
493 |
+
"step": 680
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 1.721771678103556,
|
497 |
+
"grad_norm": 0.5061450862678053,
|
498 |
+
"learning_rate": 5e-06,
|
499 |
+
"loss": 0.5131,
|
500 |
+
"step": 690
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 1.7467248908296944,
|
504 |
+
"grad_norm": 0.5157055149054185,
|
505 |
+
"learning_rate": 5e-06,
|
506 |
+
"loss": 0.508,
|
507 |
+
"step": 700
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 1.7716781035558329,
|
511 |
+
"grad_norm": 0.5204430984353897,
|
512 |
+
"learning_rate": 5e-06,
|
513 |
+
"loss": 0.5175,
|
514 |
+
"step": 710
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 1.7966313162819714,
|
518 |
+
"grad_norm": 0.5357849253293278,
|
519 |
+
"learning_rate": 5e-06,
|
520 |
+
"loss": 0.5168,
|
521 |
+
"step": 720
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.8215845290081099,
|
525 |
+
"grad_norm": 0.7132216372119276,
|
526 |
+
"learning_rate": 5e-06,
|
527 |
+
"loss": 0.5192,
|
528 |
+
"step": 730
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 1.8465377417342483,
|
532 |
+
"grad_norm": 0.6769653937286553,
|
533 |
+
"learning_rate": 5e-06,
|
534 |
+
"loss": 0.515,
|
535 |
+
"step": 740
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 1.8714909544603868,
|
539 |
+
"grad_norm": 0.47758034322098186,
|
540 |
+
"learning_rate": 5e-06,
|
541 |
+
"loss": 0.5113,
|
542 |
+
"step": 750
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 1.8964441671865253,
|
546 |
+
"grad_norm": 0.45410954217292865,
|
547 |
+
"learning_rate": 5e-06,
|
548 |
+
"loss": 0.508,
|
549 |
+
"step": 760
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 1.9213973799126638,
|
553 |
+
"grad_norm": 0.5514628147384041,
|
554 |
+
"learning_rate": 5e-06,
|
555 |
+
"loss": 0.5111,
|
556 |
+
"step": 770
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 1.9463505926388023,
|
560 |
+
"grad_norm": 0.5437873076115038,
|
561 |
+
"learning_rate": 5e-06,
|
562 |
+
"loss": 0.515,
|
563 |
+
"step": 780
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 1.9713038053649408,
|
567 |
+
"grad_norm": 0.5047758942757364,
|
568 |
+
"learning_rate": 5e-06,
|
569 |
+
"loss": 0.509,
|
570 |
+
"step": 790
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 1.9962570180910792,
|
574 |
+
"grad_norm": 0.4712219343056804,
|
575 |
+
"learning_rate": 5e-06,
|
576 |
+
"loss": 0.5138,
|
577 |
+
"step": 800
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 1.9987523393636932,
|
581 |
+
"eval_loss": 0.5372687578201294,
|
582 |
+
"eval_runtime": 138.155,
|
583 |
+
"eval_samples_per_second": 78.13,
|
584 |
+
"eval_steps_per_second": 0.615,
|
585 |
+
"step": 801
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 2.0212102308172177,
|
589 |
+
"grad_norm": 0.5647461852845252,
|
590 |
+
"learning_rate": 5e-06,
|
591 |
+
"loss": 0.478,
|
592 |
+
"step": 810
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 2.046163443543356,
|
596 |
+
"grad_norm": 0.6651732696313954,
|
597 |
+
"learning_rate": 5e-06,
|
598 |
+
"loss": 0.4739,
|
599 |
+
"step": 820
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 2.0711166562694947,
|
603 |
+
"grad_norm": 0.6344890617063265,
|
604 |
+
"learning_rate": 5e-06,
|
605 |
+
"loss": 0.4742,
|
606 |
+
"step": 830
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 2.096069868995633,
|
610 |
+
"grad_norm": 0.5551443463065495,
|
611 |
+
"learning_rate": 5e-06,
|
612 |
+
"loss": 0.4757,
|
613 |
+
"step": 840
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 2.1210230817217717,
|
617 |
+
"grad_norm": 0.5821542029735364,
|
618 |
+
"learning_rate": 5e-06,
|
619 |
+
"loss": 0.4745,
|
620 |
+
"step": 850
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 2.14597629444791,
|
624 |
+
"grad_norm": 0.5036890967140374,
|
625 |
+
"learning_rate": 5e-06,
|
626 |
+
"loss": 0.4741,
|
627 |
+
"step": 860
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 2.1709295071740486,
|
631 |
+
"grad_norm": 0.526252717008255,
|
632 |
+
"learning_rate": 5e-06,
|
633 |
+
"loss": 0.4752,
|
634 |
+
"step": 870
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 2.195882719900187,
|
638 |
+
"grad_norm": 0.5161295092624307,
|
639 |
+
"learning_rate": 5e-06,
|
640 |
+
"loss": 0.4708,
|
641 |
+
"step": 880
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 2.2208359326263256,
|
645 |
+
"grad_norm": 0.5979999195074699,
|
646 |
+
"learning_rate": 5e-06,
|
647 |
+
"loss": 0.474,
|
648 |
+
"step": 890
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 2.245789145352464,
|
652 |
+
"grad_norm": 0.548385025393527,
|
653 |
+
"learning_rate": 5e-06,
|
654 |
+
"loss": 0.4725,
|
655 |
+
"step": 900
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 2.2707423580786026,
|
659 |
+
"grad_norm": 0.5786454120324753,
|
660 |
+
"learning_rate": 5e-06,
|
661 |
+
"loss": 0.4721,
|
662 |
+
"step": 910
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 2.295695570804741,
|
666 |
+
"grad_norm": 0.49033248942630286,
|
667 |
+
"learning_rate": 5e-06,
|
668 |
+
"loss": 0.4754,
|
669 |
+
"step": 920
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 2.3206487835308796,
|
673 |
+
"grad_norm": 0.578944877860593,
|
674 |
+
"learning_rate": 5e-06,
|
675 |
+
"loss": 0.4771,
|
676 |
+
"step": 930
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 2.345601996257018,
|
680 |
+
"grad_norm": 0.5444827802066028,
|
681 |
+
"learning_rate": 5e-06,
|
682 |
+
"loss": 0.478,
|
683 |
+
"step": 940
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 2.3705552089831565,
|
687 |
+
"grad_norm": 0.5738362287944658,
|
688 |
+
"learning_rate": 5e-06,
|
689 |
+
"loss": 0.4706,
|
690 |
+
"step": 950
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 2.395508421709295,
|
694 |
+
"grad_norm": 0.5497412052181665,
|
695 |
+
"learning_rate": 5e-06,
|
696 |
+
"loss": 0.4742,
|
697 |
+
"step": 960
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 2.4204616344354335,
|
701 |
+
"grad_norm": 0.6321664132907767,
|
702 |
+
"learning_rate": 5e-06,
|
703 |
+
"loss": 0.4745,
|
704 |
+
"step": 970
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 2.445414847161572,
|
708 |
+
"grad_norm": 0.5155397917374155,
|
709 |
+
"learning_rate": 5e-06,
|
710 |
+
"loss": 0.4714,
|
711 |
+
"step": 980
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 2.4703680598877105,
|
715 |
+
"grad_norm": 0.48000015580082134,
|
716 |
+
"learning_rate": 5e-06,
|
717 |
+
"loss": 0.4737,
|
718 |
+
"step": 990
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 2.495321272613849,
|
722 |
+
"grad_norm": 0.5646370042066121,
|
723 |
+
"learning_rate": 5e-06,
|
724 |
+
"loss": 0.4737,
|
725 |
+
"step": 1000
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 2.5202744853399874,
|
729 |
+
"grad_norm": 0.5488929805385689,
|
730 |
+
"learning_rate": 5e-06,
|
731 |
+
"loss": 0.479,
|
732 |
+
"step": 1010
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 2.545227698066126,
|
736 |
+
"grad_norm": 0.5690240798527287,
|
737 |
+
"learning_rate": 5e-06,
|
738 |
+
"loss": 0.4735,
|
739 |
+
"step": 1020
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 2.5701809107922644,
|
743 |
+
"grad_norm": 0.5241263467703002,
|
744 |
+
"learning_rate": 5e-06,
|
745 |
+
"loss": 0.4759,
|
746 |
+
"step": 1030
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 2.595134123518403,
|
750 |
+
"grad_norm": 0.4966621491972494,
|
751 |
+
"learning_rate": 5e-06,
|
752 |
+
"loss": 0.4741,
|
753 |
+
"step": 1040
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 2.6200873362445414,
|
757 |
+
"grad_norm": 0.6751968467864414,
|
758 |
+
"learning_rate": 5e-06,
|
759 |
+
"loss": 0.4798,
|
760 |
+
"step": 1050
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 2.64504054897068,
|
764 |
+
"grad_norm": 0.6383918524471734,
|
765 |
+
"learning_rate": 5e-06,
|
766 |
+
"loss": 0.4754,
|
767 |
+
"step": 1060
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 2.6699937616968183,
|
771 |
+
"grad_norm": 0.5256722819070684,
|
772 |
+
"learning_rate": 5e-06,
|
773 |
+
"loss": 0.4726,
|
774 |
+
"step": 1070
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 2.694946974422957,
|
778 |
+
"grad_norm": 0.5129557694221921,
|
779 |
+
"learning_rate": 5e-06,
|
780 |
+
"loss": 0.4738,
|
781 |
+
"step": 1080
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 2.7199001871490953,
|
785 |
+
"grad_norm": 0.49845285895513675,
|
786 |
+
"learning_rate": 5e-06,
|
787 |
+
"loss": 0.4788,
|
788 |
+
"step": 1090
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 2.744853399875234,
|
792 |
+
"grad_norm": 0.6463893459607853,
|
793 |
+
"learning_rate": 5e-06,
|
794 |
+
"loss": 0.4772,
|
795 |
+
"step": 1100
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 2.7698066126013723,
|
799 |
+
"grad_norm": 0.5326072861407999,
|
800 |
+
"learning_rate": 5e-06,
|
801 |
+
"loss": 0.4756,
|
802 |
+
"step": 1110
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 2.7947598253275108,
|
806 |
+
"grad_norm": 0.5085270847721544,
|
807 |
+
"learning_rate": 5e-06,
|
808 |
+
"loss": 0.4741,
|
809 |
+
"step": 1120
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 2.8197130380536493,
|
813 |
+
"grad_norm": 0.5495621538149744,
|
814 |
+
"learning_rate": 5e-06,
|
815 |
+
"loss": 0.4745,
|
816 |
+
"step": 1130
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 2.8446662507797877,
|
820 |
+
"grad_norm": 0.48958337112517436,
|
821 |
+
"learning_rate": 5e-06,
|
822 |
+
"loss": 0.4715,
|
823 |
+
"step": 1140
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 2.8696194635059262,
|
827 |
+
"grad_norm": 0.5857338163975798,
|
828 |
+
"learning_rate": 5e-06,
|
829 |
+
"loss": 0.4747,
|
830 |
+
"step": 1150
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 2.8945726762320647,
|
834 |
+
"grad_norm": 0.48260180409447406,
|
835 |
+
"learning_rate": 5e-06,
|
836 |
+
"loss": 0.4715,
|
837 |
+
"step": 1160
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 2.919525888958203,
|
841 |
+
"grad_norm": 0.5058713259660398,
|
842 |
+
"learning_rate": 5e-06,
|
843 |
+
"loss": 0.4722,
|
844 |
+
"step": 1170
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 2.944479101684342,
|
848 |
+
"grad_norm": 0.544953115514363,
|
849 |
+
"learning_rate": 5e-06,
|
850 |
+
"loss": 0.4765,
|
851 |
+
"step": 1180
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 2.96943231441048,
|
855 |
+
"grad_norm": 0.4680283080397261,
|
856 |
+
"learning_rate": 5e-06,
|
857 |
+
"loss": 0.4756,
|
858 |
+
"step": 1190
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 2.994385527136619,
|
862 |
+
"grad_norm": 0.52273100015014,
|
863 |
+
"learning_rate": 5e-06,
|
864 |
+
"loss": 0.4712,
|
865 |
+
"step": 1200
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 2.994385527136619,
|
869 |
+
"eval_loss": 0.5305783748626709,
|
870 |
+
"eval_runtime": 137.7646,
|
871 |
+
"eval_samples_per_second": 78.351,
|
872 |
+
"eval_steps_per_second": 0.617,
|
873 |
+
"step": 1200
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 2.994385527136619,
|
877 |
+
"step": 1200,
|
878 |
+
"total_flos": 2009625935216640.0,
|
879 |
+
"train_loss": 0.5358249799410502,
|
880 |
+
"train_runtime": 20182.0753,
|
881 |
+
"train_samples_per_second": 30.484,
|
882 |
+
"train_steps_per_second": 0.059
|
883 |
+
}
|
884 |
+
],
|
885 |
+
"logging_steps": 10,
|
886 |
+
"max_steps": 1200,
|
887 |
+
"num_input_tokens_seen": 0,
|
888 |
+
"num_train_epochs": 3,
|
889 |
+
"save_steps": 500,
|
890 |
+
"stateful_callbacks": {
|
891 |
+
"TrainerControl": {
|
892 |
+
"args": {
|
893 |
+
"should_epoch_stop": false,
|
894 |
+
"should_evaluate": false,
|
895 |
+
"should_log": false,
|
896 |
+
"should_save": true,
|
897 |
+
"should_training_stop": true
|
898 |
+
},
|
899 |
+
"attributes": {}
|
900 |
+
}
|
901 |
+
},
|
902 |
+
"total_flos": 2009625935216640.0,
|
903 |
+
"train_batch_size": 8,
|
904 |
+
"trial_name": null,
|
905 |
+
"trial_params": null
|
906 |
+
}
|
training_eval_loss.png
ADDED
![]() |
training_loss.png
ADDED
![]() |