Upload folder using huggingface_hub
#1
by
krishnakalyan3
- opened
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +709 -0
- training_args.bin +3 -0
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:264db4985a059cf9f7defc109c9da516f7ae349492077cf506df5e4f0791f2e5
|
3 |
+
size 379087640
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9a5d904c94dddd20981ad675b5471b4d770b65b10337780330598d7b656ac63f
|
3 |
+
size 3152668
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:87cf6a4bbc04caf76a5487daaff4aac7a0bcb9a198a568d8941ea716cf385afa
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c6f96762648505b015243f25d9c34a5d7b09dd1128a3d863de9924e8e2724e56
|
3 |
+
size 1064
|
trainer_state.json
ADDED
@@ -0,0 +1,709 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.1978042721748352,
|
3 |
+
"best_model_checkpoint": "/p/scratch/ccstdl/kalyan1/finetuned-cosine-loss/checkpoint-430",
|
4 |
+
"epoch": 0.043,
|
5 |
+
"eval_steps": 10,
|
6 |
+
"global_step": 430,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.001,
|
13 |
+
"grad_norm": 1.646112322807312,
|
14 |
+
"learning_rate": 5.000000000000001e-07,
|
15 |
+
"loss": 0.6464,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.001,
|
20 |
+
"eval_cos_sim": 0.30497944355010986,
|
21 |
+
"eval_loss": 0.6448461413383484,
|
22 |
+
"eval_runtime": 205.7229,
|
23 |
+
"eval_samples_per_second": 4.861,
|
24 |
+
"eval_steps_per_second": 0.156,
|
25 |
+
"step": 10
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 0.002,
|
29 |
+
"grad_norm": 1.769713282585144,
|
30 |
+
"learning_rate": 1.0000000000000002e-06,
|
31 |
+
"loss": 0.6442,
|
32 |
+
"step": 20
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.002,
|
36 |
+
"eval_cos_sim": 0.30667245388031006,
|
37 |
+
"eval_loss": 0.6431530714035034,
|
38 |
+
"eval_runtime": 205.6457,
|
39 |
+
"eval_samples_per_second": 4.863,
|
40 |
+
"eval_steps_per_second": 0.156,
|
41 |
+
"step": 20
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 0.003,
|
45 |
+
"grad_norm": 1.794607400894165,
|
46 |
+
"learning_rate": 1.5e-06,
|
47 |
+
"loss": 0.6231,
|
48 |
+
"step": 30
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 0.003,
|
52 |
+
"eval_cos_sim": 0.30951327085494995,
|
53 |
+
"eval_loss": 0.640312135219574,
|
54 |
+
"eval_runtime": 204.7069,
|
55 |
+
"eval_samples_per_second": 4.885,
|
56 |
+
"eval_steps_per_second": 0.156,
|
57 |
+
"step": 30
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.004,
|
61 |
+
"grad_norm": 1.7727755308151245,
|
62 |
+
"learning_rate": 2.0000000000000003e-06,
|
63 |
+
"loss": 0.6291,
|
64 |
+
"step": 40
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"epoch": 0.004,
|
68 |
+
"eval_cos_sim": 0.3135722279548645,
|
69 |
+
"eval_loss": 0.6362530589103699,
|
70 |
+
"eval_runtime": 204.4705,
|
71 |
+
"eval_samples_per_second": 4.891,
|
72 |
+
"eval_steps_per_second": 0.157,
|
73 |
+
"step": 40
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.005,
|
77 |
+
"grad_norm": 1.492561936378479,
|
78 |
+
"learning_rate": 2.5e-06,
|
79 |
+
"loss": 0.619,
|
80 |
+
"step": 50
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.005,
|
84 |
+
"eval_cos_sim": 0.31877169013023376,
|
85 |
+
"eval_loss": 0.6310535669326782,
|
86 |
+
"eval_runtime": 205.9799,
|
87 |
+
"eval_samples_per_second": 4.855,
|
88 |
+
"eval_steps_per_second": 0.155,
|
89 |
+
"step": 50
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 0.006,
|
93 |
+
"grad_norm": 1.761650800704956,
|
94 |
+
"learning_rate": 3e-06,
|
95 |
+
"loss": 0.619,
|
96 |
+
"step": 60
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 0.006,
|
100 |
+
"eval_cos_sim": 0.32503262162208557,
|
101 |
+
"eval_loss": 0.624792218208313,
|
102 |
+
"eval_runtime": 206.3179,
|
103 |
+
"eval_samples_per_second": 4.847,
|
104 |
+
"eval_steps_per_second": 0.155,
|
105 |
+
"step": 60
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.007,
|
109 |
+
"grad_norm": 1.7647501230239868,
|
110 |
+
"learning_rate": 3.5000000000000004e-06,
|
111 |
+
"loss": 0.6151,
|
112 |
+
"step": 70
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 0.007,
|
116 |
+
"eval_cos_sim": 0.33216750621795654,
|
117 |
+
"eval_loss": 0.6176563501358032,
|
118 |
+
"eval_runtime": 208.1576,
|
119 |
+
"eval_samples_per_second": 4.804,
|
120 |
+
"eval_steps_per_second": 0.154,
|
121 |
+
"step": 70
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.008,
|
125 |
+
"grad_norm": 1.762241005897522,
|
126 |
+
"learning_rate": 4.000000000000001e-06,
|
127 |
+
"loss": 0.6257,
|
128 |
+
"step": 80
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.008,
|
132 |
+
"eval_cos_sim": 0.3403419852256775,
|
133 |
+
"eval_loss": 0.6094820499420166,
|
134 |
+
"eval_runtime": 205.6449,
|
135 |
+
"eval_samples_per_second": 4.863,
|
136 |
+
"eval_steps_per_second": 0.156,
|
137 |
+
"step": 80
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 0.009,
|
141 |
+
"grad_norm": 1.4978479146957397,
|
142 |
+
"learning_rate": 4.5e-06,
|
143 |
+
"loss": 0.5978,
|
144 |
+
"step": 90
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.009,
|
148 |
+
"eval_cos_sim": 0.34952041506767273,
|
149 |
+
"eval_loss": 0.6003041863441467,
|
150 |
+
"eval_runtime": 205.9245,
|
151 |
+
"eval_samples_per_second": 4.856,
|
152 |
+
"eval_steps_per_second": 0.155,
|
153 |
+
"step": 90
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.01,
|
157 |
+
"grad_norm": 1.4880496263504028,
|
158 |
+
"learning_rate": 5e-06,
|
159 |
+
"loss": 0.5816,
|
160 |
+
"step": 100
|
161 |
+
},
|
162 |
+
{
|
163 |
+
"epoch": 0.01,
|
164 |
+
"eval_cos_sim": 0.35966718196868896,
|
165 |
+
"eval_loss": 0.590160071849823,
|
166 |
+
"eval_runtime": 206.7863,
|
167 |
+
"eval_samples_per_second": 4.836,
|
168 |
+
"eval_steps_per_second": 0.155,
|
169 |
+
"step": 100
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 0.011,
|
173 |
+
"grad_norm": 1.4825042486190796,
|
174 |
+
"learning_rate": 5.500000000000001e-06,
|
175 |
+
"loss": 0.5922,
|
176 |
+
"step": 110
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.011,
|
180 |
+
"eval_cos_sim": 0.37048399448394775,
|
181 |
+
"eval_loss": 0.5793455243110657,
|
182 |
+
"eval_runtime": 206.0982,
|
183 |
+
"eval_samples_per_second": 4.852,
|
184 |
+
"eval_steps_per_second": 0.155,
|
185 |
+
"step": 110
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.012,
|
189 |
+
"grad_norm": 1.761700987815857,
|
190 |
+
"learning_rate": 6e-06,
|
191 |
+
"loss": 0.5767,
|
192 |
+
"step": 120
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.012,
|
196 |
+
"eval_cos_sim": 0.38159415125846863,
|
197 |
+
"eval_loss": 0.5682348608970642,
|
198 |
+
"eval_runtime": 204.1513,
|
199 |
+
"eval_samples_per_second": 4.898,
|
200 |
+
"eval_steps_per_second": 0.157,
|
201 |
+
"step": 120
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.013,
|
205 |
+
"grad_norm": 1.7859400510787964,
|
206 |
+
"learning_rate": 6.5000000000000004e-06,
|
207 |
+
"loss": 0.5625,
|
208 |
+
"step": 130
|
209 |
+
},
|
210 |
+
{
|
211 |
+
"epoch": 0.013,
|
212 |
+
"eval_cos_sim": 0.39334964752197266,
|
213 |
+
"eval_loss": 0.5564795732498169,
|
214 |
+
"eval_runtime": 205.8548,
|
215 |
+
"eval_samples_per_second": 4.858,
|
216 |
+
"eval_steps_per_second": 0.155,
|
217 |
+
"step": 130
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 0.014,
|
221 |
+
"grad_norm": 1.4824175834655762,
|
222 |
+
"learning_rate": 7.000000000000001e-06,
|
223 |
+
"loss": 0.5348,
|
224 |
+
"step": 140
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.014,
|
228 |
+
"eval_cos_sim": 0.4060880243778229,
|
229 |
+
"eval_loss": 0.5437397956848145,
|
230 |
+
"eval_runtime": 205.6798,
|
231 |
+
"eval_samples_per_second": 4.862,
|
232 |
+
"eval_steps_per_second": 0.156,
|
233 |
+
"step": 140
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.015,
|
237 |
+
"grad_norm": 1.453766107559204,
|
238 |
+
"learning_rate": 7.5e-06,
|
239 |
+
"loss": 0.5359,
|
240 |
+
"step": 150
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.015,
|
244 |
+
"eval_cos_sim": 0.4195743799209595,
|
245 |
+
"eval_loss": 0.5302525758743286,
|
246 |
+
"eval_runtime": 206.2792,
|
247 |
+
"eval_samples_per_second": 4.848,
|
248 |
+
"eval_steps_per_second": 0.155,
|
249 |
+
"step": 150
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.016,
|
253 |
+
"grad_norm": 1.7521625757217407,
|
254 |
+
"learning_rate": 8.000000000000001e-06,
|
255 |
+
"loss": 0.5202,
|
256 |
+
"step": 160
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 0.016,
|
260 |
+
"eval_cos_sim": 0.43342718482017517,
|
261 |
+
"eval_loss": 0.516399621963501,
|
262 |
+
"eval_runtime": 206.1506,
|
263 |
+
"eval_samples_per_second": 4.851,
|
264 |
+
"eval_steps_per_second": 0.155,
|
265 |
+
"step": 160
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 0.017,
|
269 |
+
"grad_norm": 1.4833202362060547,
|
270 |
+
"learning_rate": 8.500000000000002e-06,
|
271 |
+
"loss": 0.5133,
|
272 |
+
"step": 170
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.017,
|
276 |
+
"eval_cos_sim": 0.44808587431907654,
|
277 |
+
"eval_loss": 0.5017415285110474,
|
278 |
+
"eval_runtime": 205.6637,
|
279 |
+
"eval_samples_per_second": 4.862,
|
280 |
+
"eval_steps_per_second": 0.156,
|
281 |
+
"step": 170
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 0.018,
|
285 |
+
"grad_norm": 1.7655549049377441,
|
286 |
+
"learning_rate": 9e-06,
|
287 |
+
"loss": 0.5066,
|
288 |
+
"step": 180
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 0.018,
|
292 |
+
"eval_cos_sim": 0.46300601959228516,
|
293 |
+
"eval_loss": 0.4868185222148895,
|
294 |
+
"eval_runtime": 206.8425,
|
295 |
+
"eval_samples_per_second": 4.835,
|
296 |
+
"eval_steps_per_second": 0.155,
|
297 |
+
"step": 180
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.019,
|
301 |
+
"grad_norm": 1.6160492897033691,
|
302 |
+
"learning_rate": 9.5e-06,
|
303 |
+
"loss": 0.4772,
|
304 |
+
"step": 190
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.019,
|
308 |
+
"eval_cos_sim": 0.4783403277397156,
|
309 |
+
"eval_loss": 0.4714851975440979,
|
310 |
+
"eval_runtime": 205.1447,
|
311 |
+
"eval_samples_per_second": 4.875,
|
312 |
+
"eval_steps_per_second": 0.156,
|
313 |
+
"step": 190
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 0.02,
|
317 |
+
"grad_norm": 1.7988218069076538,
|
318 |
+
"learning_rate": 1e-05,
|
319 |
+
"loss": 0.4706,
|
320 |
+
"step": 200
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.02,
|
324 |
+
"eval_cos_sim": 0.49314171075820923,
|
325 |
+
"eval_loss": 0.45668038725852966,
|
326 |
+
"eval_runtime": 206.3434,
|
327 |
+
"eval_samples_per_second": 4.846,
|
328 |
+
"eval_steps_per_second": 0.155,
|
329 |
+
"step": 200
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 0.021,
|
333 |
+
"grad_norm": 1.7824742794036865,
|
334 |
+
"learning_rate": 1.05e-05,
|
335 |
+
"loss": 0.4531,
|
336 |
+
"step": 210
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 0.021,
|
340 |
+
"eval_cos_sim": 0.5080329179763794,
|
341 |
+
"eval_loss": 0.44177642464637756,
|
342 |
+
"eval_runtime": 207.391,
|
343 |
+
"eval_samples_per_second": 4.822,
|
344 |
+
"eval_steps_per_second": 0.154,
|
345 |
+
"step": 210
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.022,
|
349 |
+
"grad_norm": 1.800609827041626,
|
350 |
+
"learning_rate": 1.1000000000000001e-05,
|
351 |
+
"loss": 0.4324,
|
352 |
+
"step": 220
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.022,
|
356 |
+
"eval_cos_sim": 0.5240386724472046,
|
357 |
+
"eval_loss": 0.42576006054878235,
|
358 |
+
"eval_runtime": 207.013,
|
359 |
+
"eval_samples_per_second": 4.831,
|
360 |
+
"eval_steps_per_second": 0.155,
|
361 |
+
"step": 220
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 0.023,
|
365 |
+
"grad_norm": 1.4796422719955444,
|
366 |
+
"learning_rate": 1.1500000000000002e-05,
|
367 |
+
"loss": 0.4139,
|
368 |
+
"step": 230
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.023,
|
372 |
+
"eval_cos_sim": 0.5389044880867004,
|
373 |
+
"eval_loss": 0.410887211561203,
|
374 |
+
"eval_runtime": 205.4474,
|
375 |
+
"eval_samples_per_second": 4.867,
|
376 |
+
"eval_steps_per_second": 0.156,
|
377 |
+
"step": 230
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 0.024,
|
381 |
+
"grad_norm": 1.513137936592102,
|
382 |
+
"learning_rate": 1.2e-05,
|
383 |
+
"loss": 0.3916,
|
384 |
+
"step": 240
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 0.024,
|
388 |
+
"eval_cos_sim": 0.5540903806686401,
|
389 |
+
"eval_loss": 0.39568817615509033,
|
390 |
+
"eval_runtime": 206.197,
|
391 |
+
"eval_samples_per_second": 4.85,
|
392 |
+
"eval_steps_per_second": 0.155,
|
393 |
+
"step": 240
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 0.025,
|
397 |
+
"grad_norm": 1.4907095432281494,
|
398 |
+
"learning_rate": 1.25e-05,
|
399 |
+
"loss": 0.3867,
|
400 |
+
"step": 250
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 0.025,
|
404 |
+
"eval_cos_sim": 0.5701205730438232,
|
405 |
+
"eval_loss": 0.37963634729385376,
|
406 |
+
"eval_runtime": 206.8619,
|
407 |
+
"eval_samples_per_second": 4.834,
|
408 |
+
"eval_steps_per_second": 0.155,
|
409 |
+
"step": 250
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.026,
|
413 |
+
"grad_norm": 1.5080854892730713,
|
414 |
+
"learning_rate": 1.3000000000000001e-05,
|
415 |
+
"loss": 0.3893,
|
416 |
+
"step": 260
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.026,
|
420 |
+
"eval_cos_sim": 0.5862915515899658,
|
421 |
+
"eval_loss": 0.36344093084335327,
|
422 |
+
"eval_runtime": 206.4905,
|
423 |
+
"eval_samples_per_second": 4.843,
|
424 |
+
"eval_steps_per_second": 0.155,
|
425 |
+
"step": 260
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 0.027,
|
429 |
+
"grad_norm": 1.738050103187561,
|
430 |
+
"learning_rate": 1.3500000000000001e-05,
|
431 |
+
"loss": 0.3718,
|
432 |
+
"step": 270
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 0.027,
|
436 |
+
"eval_cos_sim": 0.5994535088539124,
|
437 |
+
"eval_loss": 0.3502576947212219,
|
438 |
+
"eval_runtime": 205.2709,
|
439 |
+
"eval_samples_per_second": 4.872,
|
440 |
+
"eval_steps_per_second": 0.156,
|
441 |
+
"step": 270
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 0.028,
|
445 |
+
"grad_norm": 1.7529724836349487,
|
446 |
+
"learning_rate": 1.4000000000000001e-05,
|
447 |
+
"loss": 0.3364,
|
448 |
+
"step": 280
|
449 |
+
},
|
450 |
+
{
|
451 |
+
"epoch": 0.028,
|
452 |
+
"eval_cos_sim": 0.613076388835907,
|
453 |
+
"eval_loss": 0.33661308884620667,
|
454 |
+
"eval_runtime": 205.299,
|
455 |
+
"eval_samples_per_second": 4.871,
|
456 |
+
"eval_steps_per_second": 0.156,
|
457 |
+
"step": 280
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.029,
|
461 |
+
"grad_norm": 1.753875732421875,
|
462 |
+
"learning_rate": 1.45e-05,
|
463 |
+
"loss": 0.3149,
|
464 |
+
"step": 290
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.029,
|
468 |
+
"eval_cos_sim": 0.6267997622489929,
|
469 |
+
"eval_loss": 0.32285839319229126,
|
470 |
+
"eval_runtime": 205.7429,
|
471 |
+
"eval_samples_per_second": 4.86,
|
472 |
+
"eval_steps_per_second": 0.156,
|
473 |
+
"step": 290
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.03,
|
477 |
+
"grad_norm": 1.4430509805679321,
|
478 |
+
"learning_rate": 1.5e-05,
|
479 |
+
"loss": 0.3346,
|
480 |
+
"step": 300
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 0.03,
|
484 |
+
"eval_cos_sim": 0.6370284557342529,
|
485 |
+
"eval_loss": 0.31259986758232117,
|
486 |
+
"eval_runtime": 205.8712,
|
487 |
+
"eval_samples_per_second": 4.857,
|
488 |
+
"eval_steps_per_second": 0.155,
|
489 |
+
"step": 300
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.031,
|
493 |
+
"grad_norm": 1.6388583183288574,
|
494 |
+
"learning_rate": 1.55e-05,
|
495 |
+
"loss": 0.2906,
|
496 |
+
"step": 310
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 0.031,
|
500 |
+
"eval_cos_sim": 0.6471716165542603,
|
501 |
+
"eval_loss": 0.3024389445781708,
|
502 |
+
"eval_runtime": 205.8913,
|
503 |
+
"eval_samples_per_second": 4.857,
|
504 |
+
"eval_steps_per_second": 0.155,
|
505 |
+
"step": 310
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 0.032,
|
509 |
+
"grad_norm": 1.6151902675628662,
|
510 |
+
"learning_rate": 1.6000000000000003e-05,
|
511 |
+
"loss": 0.2823,
|
512 |
+
"step": 320
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 0.032,
|
516 |
+
"eval_cos_sim": 0.658047616481781,
|
517 |
+
"eval_loss": 0.29153889417648315,
|
518 |
+
"eval_runtime": 205.5626,
|
519 |
+
"eval_samples_per_second": 4.865,
|
520 |
+
"eval_steps_per_second": 0.156,
|
521 |
+
"step": 320
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.033,
|
525 |
+
"grad_norm": 1.3532074689865112,
|
526 |
+
"learning_rate": 1.65e-05,
|
527 |
+
"loss": 0.2806,
|
528 |
+
"step": 330
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.033,
|
532 |
+
"eval_cos_sim": 0.6677139401435852,
|
533 |
+
"eval_loss": 0.28184273838996887,
|
534 |
+
"eval_runtime": 205.9081,
|
535 |
+
"eval_samples_per_second": 4.857,
|
536 |
+
"eval_steps_per_second": 0.155,
|
537 |
+
"step": 330
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.034,
|
541 |
+
"grad_norm": 1.5439000129699707,
|
542 |
+
"learning_rate": 1.7000000000000003e-05,
|
543 |
+
"loss": 0.2604,
|
544 |
+
"step": 340
|
545 |
+
},
|
546 |
+
{
|
547 |
+
"epoch": 0.034,
|
548 |
+
"eval_cos_sim": 0.6758972406387329,
|
549 |
+
"eval_loss": 0.2736455500125885,
|
550 |
+
"eval_runtime": 206.6691,
|
551 |
+
"eval_samples_per_second": 4.839,
|
552 |
+
"eval_steps_per_second": 0.155,
|
553 |
+
"step": 340
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 0.035,
|
557 |
+
"grad_norm": 1.4628266096115112,
|
558 |
+
"learning_rate": 1.75e-05,
|
559 |
+
"loss": 0.2488,
|
560 |
+
"step": 350
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 0.035,
|
564 |
+
"eval_cos_sim": 0.6875510215759277,
|
565 |
+
"eval_loss": 0.2619880139827728,
|
566 |
+
"eval_runtime": 205.4389,
|
567 |
+
"eval_samples_per_second": 4.868,
|
568 |
+
"eval_steps_per_second": 0.156,
|
569 |
+
"step": 350
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.036,
|
573 |
+
"grad_norm": 1.2534619569778442,
|
574 |
+
"learning_rate": 1.8e-05,
|
575 |
+
"loss": 0.2421,
|
576 |
+
"step": 360
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.036,
|
580 |
+
"eval_cos_sim": 0.6983117461204529,
|
581 |
+
"eval_loss": 0.2512022852897644,
|
582 |
+
"eval_runtime": 205.4173,
|
583 |
+
"eval_samples_per_second": 4.868,
|
584 |
+
"eval_steps_per_second": 0.156,
|
585 |
+
"step": 360
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.037,
|
589 |
+
"grad_norm": 1.3977046012878418,
|
590 |
+
"learning_rate": 1.85e-05,
|
591 |
+
"loss": 0.2185,
|
592 |
+
"step": 370
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 0.037,
|
596 |
+
"eval_cos_sim": 0.7063655257225037,
|
597 |
+
"eval_loss": 0.2431405633687973,
|
598 |
+
"eval_runtime": 206.1942,
|
599 |
+
"eval_samples_per_second": 4.85,
|
600 |
+
"eval_steps_per_second": 0.155,
|
601 |
+
"step": 370
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 0.038,
|
605 |
+
"grad_norm": 1.193185567855835,
|
606 |
+
"learning_rate": 1.9e-05,
|
607 |
+
"loss": 0.237,
|
608 |
+
"step": 380
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.038,
|
612 |
+
"eval_cos_sim": 0.7140612602233887,
|
613 |
+
"eval_loss": 0.23545415699481964,
|
614 |
+
"eval_runtime": 204.7566,
|
615 |
+
"eval_samples_per_second": 4.884,
|
616 |
+
"eval_steps_per_second": 0.156,
|
617 |
+
"step": 380
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 0.039,
|
621 |
+
"grad_norm": 1.2560912370681763,
|
622 |
+
"learning_rate": 1.9500000000000003e-05,
|
623 |
+
"loss": 0.244,
|
624 |
+
"step": 390
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 0.039,
|
628 |
+
"eval_cos_sim": 0.7227933406829834,
|
629 |
+
"eval_loss": 0.22671909630298615,
|
630 |
+
"eval_runtime": 205.2004,
|
631 |
+
"eval_samples_per_second": 4.873,
|
632 |
+
"eval_steps_per_second": 0.156,
|
633 |
+
"step": 390
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.04,
|
637 |
+
"grad_norm": 1.1640348434448242,
|
638 |
+
"learning_rate": 2e-05,
|
639 |
+
"loss": 0.2261,
|
640 |
+
"step": 400
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 0.04,
|
644 |
+
"eval_cos_sim": 0.7307066917419434,
|
645 |
+
"eval_loss": 0.21881377696990967,
|
646 |
+
"eval_runtime": 206.284,
|
647 |
+
"eval_samples_per_second": 4.848,
|
648 |
+
"eval_steps_per_second": 0.155,
|
649 |
+
"step": 400
|
650 |
+
},
|
651 |
+
{
|
652 |
+
"epoch": 0.041,
|
653 |
+
"grad_norm": 1.0957697629928589,
|
654 |
+
"learning_rate": 2.05e-05,
|
655 |
+
"loss": 0.204,
|
656 |
+
"step": 410
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 0.041,
|
660 |
+
"eval_cos_sim": 0.7365487813949585,
|
661 |
+
"eval_loss": 0.2129872441291809,
|
662 |
+
"eval_runtime": 205.7321,
|
663 |
+
"eval_samples_per_second": 4.861,
|
664 |
+
"eval_steps_per_second": 0.156,
|
665 |
+
"step": 410
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 0.042,
|
669 |
+
"grad_norm": 1.025030493736267,
|
670 |
+
"learning_rate": 2.1e-05,
|
671 |
+
"loss": 0.2039,
|
672 |
+
"step": 420
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 0.042,
|
676 |
+
"eval_cos_sim": 0.7446093559265137,
|
677 |
+
"eval_loss": 0.20492298901081085,
|
678 |
+
"eval_runtime": 206.2353,
|
679 |
+
"eval_samples_per_second": 4.849,
|
680 |
+
"eval_steps_per_second": 0.155,
|
681 |
+
"step": 420
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.043,
|
685 |
+
"grad_norm": 0.9591805934906006,
|
686 |
+
"learning_rate": 2.15e-05,
|
687 |
+
"loss": 0.2197,
|
688 |
+
"step": 430
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.043,
|
692 |
+
"eval_cos_sim": 0.751737117767334,
|
693 |
+
"eval_loss": 0.1978042721748352,
|
694 |
+
"eval_runtime": 206.0346,
|
695 |
+
"eval_samples_per_second": 4.854,
|
696 |
+
"eval_steps_per_second": 0.155,
|
697 |
+
"step": 430
|
698 |
+
}
|
699 |
+
],
|
700 |
+
"logging_steps": 10,
|
701 |
+
"max_steps": 10000,
|
702 |
+
"num_input_tokens_seen": 0,
|
703 |
+
"num_train_epochs": 9223372036854775807,
|
704 |
+
"save_steps": 10,
|
705 |
+
"total_flos": 0.0,
|
706 |
+
"train_batch_size": 140,
|
707 |
+
"trial_name": null,
|
708 |
+
"trial_params": null
|
709 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:820f28d1edcf77c869c57ddd43701a33ecdd10e592a609c522807ecb5cbb11c2
|
3 |
+
size 5048
|