Commit
•
b5685b0
1
Parent(s):
0c5f5d8
End of training
Browse files- README.md +3 -2
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +291 -0
README.md
CHANGED
@@ -2,6 +2,7 @@
|
|
2 |
library_name: peft
|
3 |
tags:
|
4 |
- llama-factory
|
|
|
5 |
- generated_from_trainer
|
6 |
base_model: meta-llama/Meta-Llama-3-8B
|
7 |
model-index:
|
@@ -14,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
14 |
|
15 |
# Llama3_AAID_new_mixed_train
|
16 |
|
17 |
-
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on
|
18 |
It achieves the following results on the evaluation set:
|
19 |
-
- Loss: 0.
|
20 |
|
21 |
## Model description
|
22 |
|
|
|
2 |
library_name: peft
|
3 |
tags:
|
4 |
- llama-factory
|
5 |
+
- lora
|
6 |
- generated_from_trainer
|
7 |
base_model: meta-llama/Meta-Llama-3-8B
|
8 |
model-index:
|
|
|
15 |
|
16 |
# Llama3_AAID_new_mixed_train
|
17 |
|
18 |
+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the AAID_new_mixed dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.8102
|
21 |
|
22 |
## Model description
|
23 |
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.17500683620453925,
|
3 |
+
"eval_loss": 0.8101749420166016,
|
4 |
+
"eval_runtime": 211.4442,
|
5 |
+
"eval_samples_per_second": 22.285,
|
6 |
+
"eval_steps_per_second": 0.7,
|
7 |
+
"total_flos": 2.8452078024759706e+17,
|
8 |
+
"train_loss": 0.4666908696293831,
|
9 |
+
"train_runtime": 10276.9259,
|
10 |
+
"train_samples_per_second": 68.32,
|
11 |
+
"train_steps_per_second": 0.267
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.17500683620453925,
|
3 |
+
"eval_loss": 0.8101749420166016,
|
4 |
+
"eval_runtime": 211.4442,
|
5 |
+
"eval_samples_per_second": 22.285,
|
6 |
+
"eval_steps_per_second": 0.7
|
7 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.17500683620453925,
|
3 |
+
"total_flos": 2.8452078024759706e+17,
|
4 |
+
"train_loss": 0.4666908696293831,
|
5 |
+
"train_runtime": 10276.9259,
|
6 |
+
"train_samples_per_second": 68.32,
|
7 |
+
"train_steps_per_second": 0.267
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,291 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.8101749420166016,
|
3 |
+
"best_model_checkpoint": "saves/LLaMA3-8B/lora/train_1/checkpoint-110",
|
4 |
+
"epoch": 0.17500683620453925,
|
5 |
+
"eval_steps": 10,
|
6 |
+
"global_step": 160,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.010937927262783703,
|
13 |
+
"grad_norm": 1.4765043258666992,
|
14 |
+
"learning_rate": 0.00029999015487222375,
|
15 |
+
"loss": 1.0078,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.010937927262783703,
|
20 |
+
"eval_loss": 0.9153856635093689,
|
21 |
+
"eval_runtime": 211.8553,
|
22 |
+
"eval_samples_per_second": 22.242,
|
23 |
+
"eval_steps_per_second": 0.699,
|
24 |
+
"step": 10
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.021875854525567406,
|
28 |
+
"grad_norm": 0.5130007266998291,
|
29 |
+
"learning_rate": 0.00029996062078124905,
|
30 |
+
"loss": 0.5077,
|
31 |
+
"step": 20
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.021875854525567406,
|
35 |
+
"eval_loss": 0.8372363448143005,
|
36 |
+
"eval_runtime": 211.905,
|
37 |
+
"eval_samples_per_second": 22.236,
|
38 |
+
"eval_steps_per_second": 0.698,
|
39 |
+
"step": 20
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.03281378178835111,
|
43 |
+
"grad_norm": 0.6383033394813538,
|
44 |
+
"learning_rate": 0.0002999114016039678,
|
45 |
+
"loss": 0.4613,
|
46 |
+
"step": 30
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"epoch": 0.03281378178835111,
|
50 |
+
"eval_loss": 0.8332751989364624,
|
51 |
+
"eval_runtime": 212.0634,
|
52 |
+
"eval_samples_per_second": 22.22,
|
53 |
+
"eval_steps_per_second": 0.698,
|
54 |
+
"step": 30
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.04375170905113481,
|
58 |
+
"grad_norm": 0.4186599552631378,
|
59 |
+
"learning_rate": 0.00029984250380130117,
|
60 |
+
"loss": 0.4794,
|
61 |
+
"step": 40
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"epoch": 0.04375170905113481,
|
65 |
+
"eval_loss": 0.832076370716095,
|
66 |
+
"eval_runtime": 211.9021,
|
67 |
+
"eval_samples_per_second": 22.237,
|
68 |
+
"eval_steps_per_second": 0.698,
|
69 |
+
"step": 40
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.05468963631391851,
|
73 |
+
"grad_norm": 0.39893779158592224,
|
74 |
+
"learning_rate": 0.0002997539364173515,
|
75 |
+
"loss": 0.4624,
|
76 |
+
"step": 50
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 0.05468963631391851,
|
80 |
+
"eval_loss": 0.8181496858596802,
|
81 |
+
"eval_runtime": 211.7599,
|
82 |
+
"eval_samples_per_second": 22.252,
|
83 |
+
"eval_steps_per_second": 0.699,
|
84 |
+
"step": 50
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.06562756357670221,
|
88 |
+
"grad_norm": 0.3842828571796417,
|
89 |
+
"learning_rate": 0.00029964571107821494,
|
90 |
+
"loss": 0.4366,
|
91 |
+
"step": 60
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 0.06562756357670221,
|
95 |
+
"eval_loss": 0.8192259669303894,
|
96 |
+
"eval_runtime": 212.0659,
|
97 |
+
"eval_samples_per_second": 22.22,
|
98 |
+
"eval_steps_per_second": 0.698,
|
99 |
+
"step": 60
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.07656549083948591,
|
103 |
+
"grad_norm": 0.36217156052589417,
|
104 |
+
"learning_rate": 0.00029951784199045534,
|
105 |
+
"loss": 0.4323,
|
106 |
+
"step": 70
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 0.07656549083948591,
|
110 |
+
"eval_loss": 0.8174964189529419,
|
111 |
+
"eval_runtime": 211.9859,
|
112 |
+
"eval_samples_per_second": 22.228,
|
113 |
+
"eval_steps_per_second": 0.698,
|
114 |
+
"step": 70
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.08750341810226962,
|
118 |
+
"grad_norm": 0.3985615074634552,
|
119 |
+
"learning_rate": 0.0002993703459392396,
|
120 |
+
"loss": 0.433,
|
121 |
+
"step": 80
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.08750341810226962,
|
125 |
+
"eval_loss": 0.8255279064178467,
|
126 |
+
"eval_runtime": 212.0217,
|
127 |
+
"eval_samples_per_second": 22.224,
|
128 |
+
"eval_steps_per_second": 0.698,
|
129 |
+
"step": 80
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.09844134536505332,
|
133 |
+
"grad_norm": 0.38471728563308716,
|
134 |
+
"learning_rate": 0.00029920324228613376,
|
135 |
+
"loss": 0.4401,
|
136 |
+
"step": 90
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.09844134536505332,
|
140 |
+
"eval_loss": 0.8293283581733704,
|
141 |
+
"eval_runtime": 212.0935,
|
142 |
+
"eval_samples_per_second": 22.217,
|
143 |
+
"eval_steps_per_second": 0.698,
|
144 |
+
"step": 90
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.10937927262783702,
|
148 |
+
"grad_norm": 0.4009046256542206,
|
149 |
+
"learning_rate": 0.0002990165529665622,
|
150 |
+
"loss": 0.4019,
|
151 |
+
"step": 100
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 0.10937927262783702,
|
155 |
+
"eval_loss": 0.8467400074005127,
|
156 |
+
"eval_runtime": 211.8895,
|
157 |
+
"eval_samples_per_second": 22.238,
|
158 |
+
"eval_steps_per_second": 0.698,
|
159 |
+
"step": 100
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.12031719989062073,
|
163 |
+
"grad_norm": 0.3922439515590668,
|
164 |
+
"learning_rate": 0.0002988103024869277,
|
165 |
+
"loss": 0.4112,
|
166 |
+
"step": 110
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 0.12031719989062073,
|
170 |
+
"eval_loss": 0.8101749420166016,
|
171 |
+
"eval_runtime": 211.8892,
|
172 |
+
"eval_samples_per_second": 22.238,
|
173 |
+
"eval_steps_per_second": 0.698,
|
174 |
+
"step": 110
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 0.13125512715340443,
|
178 |
+
"grad_norm": 0.37745875120162964,
|
179 |
+
"learning_rate": 0.00029858451792139453,
|
180 |
+
"loss": 0.4009,
|
181 |
+
"step": 120
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 0.13125512715340443,
|
185 |
+
"eval_loss": 0.8458078503608704,
|
186 |
+
"eval_runtime": 211.8294,
|
187 |
+
"eval_samples_per_second": 22.244,
|
188 |
+
"eval_steps_per_second": 0.699,
|
189 |
+
"step": 120
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.14219305441618812,
|
193 |
+
"grad_norm": 0.3471999764442444,
|
194 |
+
"learning_rate": 0.0002983392289083346,
|
195 |
+
"loss": 0.4023,
|
196 |
+
"step": 130
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 0.14219305441618812,
|
200 |
+
"eval_loss": 0.8429893255233765,
|
201 |
+
"eval_runtime": 211.9578,
|
202 |
+
"eval_samples_per_second": 22.231,
|
203 |
+
"eval_steps_per_second": 0.698,
|
204 |
+
"step": 130
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.15313098167897182,
|
208 |
+
"grad_norm": 0.32064810395240784,
|
209 |
+
"learning_rate": 0.0002980744676464371,
|
210 |
+
"loss": 0.3924,
|
211 |
+
"step": 140
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 0.15313098167897182,
|
215 |
+
"eval_loss": 0.8300093412399292,
|
216 |
+
"eval_runtime": 211.8193,
|
217 |
+
"eval_samples_per_second": 22.245,
|
218 |
+
"eval_steps_per_second": 0.699,
|
219 |
+
"step": 140
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.16406890894175555,
|
223 |
+
"grad_norm": 0.31663310527801514,
|
224 |
+
"learning_rate": 0.0002977902688904813,
|
225 |
+
"loss": 0.4079,
|
226 |
+
"step": 150
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.16406890894175555,
|
230 |
+
"eval_loss": 0.8369516134262085,
|
231 |
+
"eval_runtime": 211.9219,
|
232 |
+
"eval_samples_per_second": 22.235,
|
233 |
+
"eval_steps_per_second": 0.698,
|
234 |
+
"step": 150
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.17500683620453925,
|
238 |
+
"grad_norm": 0.351032018661499,
|
239 |
+
"learning_rate": 0.00029748666994677467,
|
240 |
+
"loss": 0.3898,
|
241 |
+
"step": 160
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.17500683620453925,
|
245 |
+
"eval_loss": 0.8523072004318237,
|
246 |
+
"eval_runtime": 211.5677,
|
247 |
+
"eval_samples_per_second": 22.272,
|
248 |
+
"eval_steps_per_second": 0.7,
|
249 |
+
"step": 160
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.17500683620453925,
|
253 |
+
"step": 160,
|
254 |
+
"total_flos": 2.8452078024759706e+17,
|
255 |
+
"train_loss": 0.4666908696293831,
|
256 |
+
"train_runtime": 10276.9259,
|
257 |
+
"train_samples_per_second": 68.32,
|
258 |
+
"train_steps_per_second": 0.267
|
259 |
+
}
|
260 |
+
],
|
261 |
+
"logging_steps": 10,
|
262 |
+
"max_steps": 2742,
|
263 |
+
"num_input_tokens_seen": 0,
|
264 |
+
"num_train_epochs": 3,
|
265 |
+
"save_steps": 10,
|
266 |
+
"stateful_callbacks": {
|
267 |
+
"EarlyStoppingCallback": {
|
268 |
+
"args": {
|
269 |
+
"early_stopping_patience": 5,
|
270 |
+
"early_stopping_threshold": 0.0
|
271 |
+
},
|
272 |
+
"attributes": {
|
273 |
+
"early_stopping_patience_counter": 0
|
274 |
+
}
|
275 |
+
},
|
276 |
+
"TrainerControl": {
|
277 |
+
"args": {
|
278 |
+
"should_epoch_stop": false,
|
279 |
+
"should_evaluate": false,
|
280 |
+
"should_log": false,
|
281 |
+
"should_save": true,
|
282 |
+
"should_training_stop": true
|
283 |
+
},
|
284 |
+
"attributes": {}
|
285 |
+
}
|
286 |
+
},
|
287 |
+
"total_flos": 2.8452078024759706e+17,
|
288 |
+
"train_batch_size": 32,
|
289 |
+
"trial_name": null,
|
290 |
+
"trial_params": null
|
291 |
+
}
|