End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +252 -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: s1K_reformat
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# s1K_reformat
|
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: s1K_reformat
|
|
|
16 |
|
17 |
# s1K_reformat
|
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/s1K_reformat dataset.
|
20 |
|
21 |
## Model description
|
22 |
|
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.875,
|
3 |
+
"total_flos": 5486752841728.0,
|
4 |
+
"train_loss": 0.3519415785868963,
|
5 |
+
"train_runtime": 307.1116,
|
6 |
+
"train_samples_per_second": 9.768,
|
7 |
+
"train_steps_per_second": 0.098
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.875,
|
3 |
+
"total_flos": 5486752841728.0,
|
4 |
+
"train_loss": 0.3519415785868963,
|
5 |
+
"train_runtime": 307.1116,
|
6 |
+
"train_samples_per_second": 9.768,
|
7 |
+
"train_steps_per_second": 0.098
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,252 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.875,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 30,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.09375,
|
13 |
+
"grad_norm": 5.066744327545166,
|
14 |
+
"learning_rate": 3.3333333333333333e-06,
|
15 |
+
"loss": 0.5625,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.1875,
|
20 |
+
"grad_norm": 4.701694965362549,
|
21 |
+
"learning_rate": 6.666666666666667e-06,
|
22 |
+
"loss": 0.5852,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.28125,
|
27 |
+
"grad_norm": 4.087770938873291,
|
28 |
+
"learning_rate": 1e-05,
|
29 |
+
"loss": 0.5712,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.375,
|
34 |
+
"grad_norm": 2.5721685886383057,
|
35 |
+
"learning_rate": 9.966191788709716e-06,
|
36 |
+
"loss": 0.5382,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.46875,
|
41 |
+
"grad_norm": 2.3166298866271973,
|
42 |
+
"learning_rate": 9.86522435289912e-06,
|
43 |
+
"loss": 0.4693,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.5625,
|
48 |
+
"grad_norm": 2.036036491394043,
|
49 |
+
"learning_rate": 9.698463103929542e-06,
|
50 |
+
"loss": 0.423,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.65625,
|
55 |
+
"grad_norm": 1.758629560470581,
|
56 |
+
"learning_rate": 9.468163201617063e-06,
|
57 |
+
"loss": 0.4039,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.75,
|
62 |
+
"grad_norm": 1.4806989431381226,
|
63 |
+
"learning_rate": 9.177439057064684e-06,
|
64 |
+
"loss": 0.3673,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.84375,
|
69 |
+
"grad_norm": 1.3439924716949463,
|
70 |
+
"learning_rate": 8.83022221559489e-06,
|
71 |
+
"loss": 0.3763,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.9375,
|
76 |
+
"grad_norm": 1.2895797491073608,
|
77 |
+
"learning_rate": 8.43120818934367e-06,
|
78 |
+
"loss": 0.3948,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 1.0625,
|
83 |
+
"grad_norm": 2.114377975463867,
|
84 |
+
"learning_rate": 7.985792958513932e-06,
|
85 |
+
"loss": 0.56,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.15625,
|
90 |
+
"grad_norm": 1.0501552820205688,
|
91 |
+
"learning_rate": 7.500000000000001e-06,
|
92 |
+
"loss": 0.3337,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 1.25,
|
97 |
+
"grad_norm": 0.9907200336456299,
|
98 |
+
"learning_rate": 6.980398830195785e-06,
|
99 |
+
"loss": 0.3273,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 1.34375,
|
104 |
+
"grad_norm": 0.9435698390007019,
|
105 |
+
"learning_rate": 6.434016163555452e-06,
|
106 |
+
"loss": 0.3234,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 1.4375,
|
111 |
+
"grad_norm": 0.9575456380844116,
|
112 |
+
"learning_rate": 5.8682408883346535e-06,
|
113 |
+
"loss": 0.2844,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 1.53125,
|
118 |
+
"grad_norm": 0.9119848012924194,
|
119 |
+
"learning_rate": 5.290724144552379e-06,
|
120 |
+
"loss": 0.3171,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 1.625,
|
125 |
+
"grad_norm": 0.667569637298584,
|
126 |
+
"learning_rate": 4.7092758554476215e-06,
|
127 |
+
"loss": 0.2731,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.71875,
|
132 |
+
"grad_norm": 0.842898964881897,
|
133 |
+
"learning_rate": 4.131759111665349e-06,
|
134 |
+
"loss": 0.2861,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 1.8125,
|
139 |
+
"grad_norm": 0.6838074922561646,
|
140 |
+
"learning_rate": 3.5659838364445505e-06,
|
141 |
+
"loss": 0.2572,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 1.90625,
|
146 |
+
"grad_norm": 0.7853348851203918,
|
147 |
+
"learning_rate": 3.019601169804216e-06,
|
148 |
+
"loss": 0.2949,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 2.03125,
|
153 |
+
"grad_norm": 1.4814157485961914,
|
154 |
+
"learning_rate": 2.5000000000000015e-06,
|
155 |
+
"loss": 0.4905,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 2.125,
|
160 |
+
"grad_norm": 0.7601101398468018,
|
161 |
+
"learning_rate": 2.0142070414860704e-06,
|
162 |
+
"loss": 0.2487,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 2.21875,
|
167 |
+
"grad_norm": 0.7554824352264404,
|
168 |
+
"learning_rate": 1.5687918106563326e-06,
|
169 |
+
"loss": 0.2562,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 2.3125,
|
174 |
+
"grad_norm": 0.6123334765434265,
|
175 |
+
"learning_rate": 1.1697777844051105e-06,
|
176 |
+
"loss": 0.2216,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 2.40625,
|
181 |
+
"grad_norm": 0.6512125730514526,
|
182 |
+
"learning_rate": 8.225609429353187e-07,
|
183 |
+
"loss": 0.244,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 2.5,
|
188 |
+
"grad_norm": 0.6529915928840637,
|
189 |
+
"learning_rate": 5.318367983829393e-07,
|
190 |
+
"loss": 0.2334,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 2.59375,
|
195 |
+
"grad_norm": 0.5994971394538879,
|
196 |
+
"learning_rate": 3.015368960704584e-07,
|
197 |
+
"loss": 0.2174,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 2.6875,
|
202 |
+
"grad_norm": 0.6502348780632019,
|
203 |
+
"learning_rate": 1.3477564710088097e-07,
|
204 |
+
"loss": 0.2514,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 2.78125,
|
209 |
+
"grad_norm": 0.6495589017868042,
|
210 |
+
"learning_rate": 3.3808211290284886e-08,
|
211 |
+
"loss": 0.2288,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.875,
|
216 |
+
"grad_norm": 0.5587441325187683,
|
217 |
+
"learning_rate": 0.0,
|
218 |
+
"loss": 0.2172,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 2.875,
|
223 |
+
"step": 30,
|
224 |
+
"total_flos": 5486752841728.0,
|
225 |
+
"train_loss": 0.3519415785868963,
|
226 |
+
"train_runtime": 307.1116,
|
227 |
+
"train_samples_per_second": 9.768,
|
228 |
+
"train_steps_per_second": 0.098
|
229 |
+
}
|
230 |
+
],
|
231 |
+
"logging_steps": 1.0,
|
232 |
+
"max_steps": 30,
|
233 |
+
"num_input_tokens_seen": 0,
|
234 |
+
"num_train_epochs": 3,
|
235 |
+
"save_steps": 500,
|
236 |
+
"stateful_callbacks": {
|
237 |
+
"TrainerControl": {
|
238 |
+
"args": {
|
239 |
+
"should_epoch_stop": false,
|
240 |
+
"should_evaluate": false,
|
241 |
+
"should_log": false,
|
242 |
+
"should_save": true,
|
243 |
+
"should_training_stop": true
|
244 |
+
},
|
245 |
+
"attributes": {}
|
246 |
+
}
|
247 |
+
},
|
248 |
+
"total_flos": 5486752841728.0,
|
249 |
+
"train_batch_size": 1,
|
250 |
+
"trial_name": null,
|
251 |
+
"trial_params": null
|
252 |
+
}
|
training_loss.png
ADDED
![]() |