kyryl-opens-ml
commited on
Commit
•
a48fd04
1
Parent(s):
42d1531
End of training
Browse files- README.md +24 -2
- adapter_model.safetensors +1 -1
- all_results.json +9 -9
- eval_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +252 -12
- training_args.bin +1 -1
README.md
CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
-
- Loss:
|
20 |
|
21 |
## Model description
|
22 |
|
@@ -39,12 +39,34 @@ The following hyperparameters were used during training:
|
|
39 |
- train_batch_size: 16
|
40 |
- eval_batch_size: 16
|
41 |
- seed: 42
|
|
|
|
|
|
|
|
|
42 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
43 |
- lr_scheduler_type: linear
|
44 |
-
- num_epochs: 0
|
45 |
|
46 |
### Training results
|
47 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
48 |
|
49 |
|
50 |
### Framework versions
|
|
|
16 |
|
17 |
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 0.3584
|
20 |
|
21 |
## Model description
|
22 |
|
|
|
39 |
- train_batch_size: 16
|
40 |
- eval_batch_size: 16
|
41 |
- seed: 42
|
42 |
+
- distributed_type: multi-GPU
|
43 |
+
- num_devices: 8
|
44 |
+
- total_train_batch_size: 128
|
45 |
+
- total_eval_batch_size: 128
|
46 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
47 |
- lr_scheduler_type: linear
|
48 |
+
- num_epochs: 1000.0
|
49 |
|
50 |
### Training results
|
51 |
|
52 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
53 |
+
|:-------------:|:------:|:----:|:---------------:|
|
54 |
+
| 0.3349 | 62.5 | 500 | 0.2107 |
|
55 |
+
| 0.1147 | 125.0 | 1000 | 0.2410 |
|
56 |
+
| 0.071 | 187.5 | 1500 | 0.2687 |
|
57 |
+
| 0.0502 | 250.0 | 2000 | 0.2901 |
|
58 |
+
| 0.0373 | 312.5 | 2500 | 0.3033 |
|
59 |
+
| 0.0301 | 375.0 | 3000 | 0.3141 |
|
60 |
+
| 0.025 | 437.5 | 3500 | 0.3235 |
|
61 |
+
| 0.0212 | 500.0 | 4000 | 0.3312 |
|
62 |
+
| 0.0187 | 562.5 | 4500 | 0.3404 |
|
63 |
+
| 0.017 | 625.0 | 5000 | 0.3371 |
|
64 |
+
| 0.0148 | 687.5 | 5500 | 0.3466 |
|
65 |
+
| 0.0139 | 750.0 | 6000 | 0.3480 |
|
66 |
+
| 0.0124 | 812.5 | 6500 | 0.3552 |
|
67 |
+
| 0.0118 | 875.0 | 7000 | 0.3594 |
|
68 |
+
| 0.0112 | 937.5 | 7500 | 0.3581 |
|
69 |
+
| 0.0106 | 1000.0 | 8000 | 0.3584 |
|
70 |
|
71 |
|
72 |
### Framework versions
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 2765880
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:26c9b5c429b5d796727814fd7067d51c53e9ce684027a0f3192ff97b639c9d18
|
3 |
size 2765880
|
all_results.json
CHANGED
@@ -1,11 +1,11 @@
|
|
1 |
{
|
2 |
-
"epoch": 0
|
3 |
-
"eval_loss":
|
4 |
-
"eval_runtime":
|
5 |
-
"eval_samples_per_second":
|
6 |
-
"eval_steps_per_second":
|
7 |
-
"train_loss":
|
8 |
-
"train_runtime":
|
9 |
-
"train_samples_per_second":
|
10 |
-
"train_steps_per_second":
|
11 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1000.0,
|
3 |
+
"eval_loss": 0.35844165086746216,
|
4 |
+
"eval_runtime": 1.7584,
|
5 |
+
"eval_samples_per_second": 4468.328,
|
6 |
+
"eval_steps_per_second": 35.26,
|
7 |
+
"train_loss": 0.04967061561346054,
|
8 |
+
"train_runtime": 721.4078,
|
9 |
+
"train_samples_per_second": 1386.178,
|
10 |
+
"train_steps_per_second": 11.089
|
11 |
}
|
eval_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
-
"epoch": 0
|
3 |
-
"eval_loss":
|
4 |
-
"eval_runtime":
|
5 |
-
"eval_samples_per_second":
|
6 |
-
"eval_steps_per_second":
|
7 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1000.0,
|
3 |
+
"eval_loss": 0.35844165086746216,
|
4 |
+
"eval_runtime": 1.7584,
|
5 |
+
"eval_samples_per_second": 4468.328,
|
6 |
+
"eval_steps_per_second": 35.26
|
7 |
}
|
train_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
-
"epoch": 0
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second":
|
6 |
-
"train_steps_per_second":
|
7 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1000.0,
|
3 |
+
"train_loss": 0.04967061561346054,
|
4 |
+
"train_runtime": 721.4078,
|
5 |
+
"train_samples_per_second": 1386.178,
|
6 |
+
"train_steps_per_second": 11.089
|
7 |
}
|
trainer_state.json
CHANGED
@@ -1,29 +1,269 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch": 0
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch":
|
13 |
-
"
|
14 |
-
"
|
15 |
-
"
|
16 |
-
"
|
17 |
-
|
18 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
19 |
}
|
20 |
],
|
21 |
"logging_steps": 500,
|
22 |
-
"max_steps":
|
23 |
"num_input_tokens_seen": 0,
|
24 |
-
"num_train_epochs":
|
25 |
"save_steps": 500,
|
26 |
-
"total_flos":
|
27 |
"train_batch_size": 16,
|
28 |
"trial_name": null,
|
29 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1000.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 8000,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 62.5,
|
13 |
+
"grad_norm": 0.2072206288576126,
|
14 |
+
"learning_rate": 0.0009375,
|
15 |
+
"loss": 0.3349,
|
16 |
+
"step": 500
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 62.5,
|
20 |
+
"eval_loss": 0.21073544025421143,
|
21 |
+
"eval_runtime": 1.7576,
|
22 |
+
"eval_samples_per_second": 4470.361,
|
23 |
+
"eval_steps_per_second": 35.276,
|
24 |
+
"step": 500
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 125.0,
|
28 |
+
"grad_norm": 0.20736312866210938,
|
29 |
+
"learning_rate": 0.000875,
|
30 |
+
"loss": 0.1147,
|
31 |
+
"step": 1000
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 125.0,
|
35 |
+
"eval_loss": 0.2409573197364807,
|
36 |
+
"eval_runtime": 1.7582,
|
37 |
+
"eval_samples_per_second": 4468.854,
|
38 |
+
"eval_steps_per_second": 35.264,
|
39 |
+
"step": 1000
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 187.5,
|
43 |
+
"grad_norm": 0.17418691515922546,
|
44 |
+
"learning_rate": 0.0008125000000000001,
|
45 |
+
"loss": 0.071,
|
46 |
+
"step": 1500
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"epoch": 187.5,
|
50 |
+
"eval_loss": 0.2686581015586853,
|
51 |
+
"eval_runtime": 1.7698,
|
52 |
+
"eval_samples_per_second": 4439.56,
|
53 |
+
"eval_steps_per_second": 35.033,
|
54 |
+
"step": 1500
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 250.0,
|
58 |
+
"grad_norm": 0.1891753375530243,
|
59 |
+
"learning_rate": 0.00075,
|
60 |
+
"loss": 0.0502,
|
61 |
+
"step": 2000
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"epoch": 250.0,
|
65 |
+
"eval_loss": 0.29014259576797485,
|
66 |
+
"eval_runtime": 1.7819,
|
67 |
+
"eval_samples_per_second": 4409.274,
|
68 |
+
"eval_steps_per_second": 34.794,
|
69 |
+
"step": 2000
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 312.5,
|
73 |
+
"grad_norm": 0.16434858739376068,
|
74 |
+
"learning_rate": 0.0006875,
|
75 |
+
"loss": 0.0373,
|
76 |
+
"step": 2500
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 312.5,
|
80 |
+
"eval_loss": 0.3033287525177002,
|
81 |
+
"eval_runtime": 1.7585,
|
82 |
+
"eval_samples_per_second": 4468.05,
|
83 |
+
"eval_steps_per_second": 35.258,
|
84 |
+
"step": 2500
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 375.0,
|
88 |
+
"grad_norm": 0.11065812408924103,
|
89 |
+
"learning_rate": 0.000625,
|
90 |
+
"loss": 0.0301,
|
91 |
+
"step": 3000
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 375.0,
|
95 |
+
"eval_loss": 0.31410983204841614,
|
96 |
+
"eval_runtime": 1.7765,
|
97 |
+
"eval_samples_per_second": 4422.629,
|
98 |
+
"eval_steps_per_second": 34.899,
|
99 |
+
"step": 3000
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 437.5,
|
103 |
+
"grad_norm": 0.12541820108890533,
|
104 |
+
"learning_rate": 0.0005625000000000001,
|
105 |
+
"loss": 0.025,
|
106 |
+
"step": 3500
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 437.5,
|
110 |
+
"eval_loss": 0.3234836161136627,
|
111 |
+
"eval_runtime": 1.8714,
|
112 |
+
"eval_samples_per_second": 4198.44,
|
113 |
+
"eval_steps_per_second": 33.13,
|
114 |
+
"step": 3500
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 500.0,
|
118 |
+
"grad_norm": 0.12353639304637909,
|
119 |
+
"learning_rate": 0.0005,
|
120 |
+
"loss": 0.0212,
|
121 |
+
"step": 4000
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 500.0,
|
125 |
+
"eval_loss": 0.33116382360458374,
|
126 |
+
"eval_runtime": 2.0737,
|
127 |
+
"eval_samples_per_second": 3788.95,
|
128 |
+
"eval_steps_per_second": 29.899,
|
129 |
+
"step": 4000
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 562.5,
|
133 |
+
"grad_norm": 0.14147008955478668,
|
134 |
+
"learning_rate": 0.0004375,
|
135 |
+
"loss": 0.0187,
|
136 |
+
"step": 4500
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 562.5,
|
140 |
+
"eval_loss": 0.3403891623020172,
|
141 |
+
"eval_runtime": 1.7439,
|
142 |
+
"eval_samples_per_second": 4505.522,
|
143 |
+
"eval_steps_per_second": 35.553,
|
144 |
+
"step": 4500
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 625.0,
|
148 |
+
"grad_norm": 0.17466695606708527,
|
149 |
+
"learning_rate": 0.000375,
|
150 |
+
"loss": 0.017,
|
151 |
+
"step": 5000
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 625.0,
|
155 |
+
"eval_loss": 0.3371485471725464,
|
156 |
+
"eval_runtime": 1.7727,
|
157 |
+
"eval_samples_per_second": 4432.252,
|
158 |
+
"eval_steps_per_second": 34.975,
|
159 |
+
"step": 5000
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 687.5,
|
163 |
+
"grad_norm": 0.1278233528137207,
|
164 |
+
"learning_rate": 0.0003125,
|
165 |
+
"loss": 0.0148,
|
166 |
+
"step": 5500
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 687.5,
|
170 |
+
"eval_loss": 0.3466494679450989,
|
171 |
+
"eval_runtime": 1.7776,
|
172 |
+
"eval_samples_per_second": 4420.019,
|
173 |
+
"eval_steps_per_second": 34.879,
|
174 |
+
"step": 5500
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 750.0,
|
178 |
+
"grad_norm": 0.08440423011779785,
|
179 |
+
"learning_rate": 0.00025,
|
180 |
+
"loss": 0.0139,
|
181 |
+
"step": 6000
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 750.0,
|
185 |
+
"eval_loss": 0.34804055094718933,
|
186 |
+
"eval_runtime": 1.7744,
|
187 |
+
"eval_samples_per_second": 4427.887,
|
188 |
+
"eval_steps_per_second": 34.941,
|
189 |
+
"step": 6000
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 812.5,
|
193 |
+
"grad_norm": 0.1064932644367218,
|
194 |
+
"learning_rate": 0.0001875,
|
195 |
+
"loss": 0.0124,
|
196 |
+
"step": 6500
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 812.5,
|
200 |
+
"eval_loss": 0.3551761209964752,
|
201 |
+
"eval_runtime": 1.7547,
|
202 |
+
"eval_samples_per_second": 4477.816,
|
203 |
+
"eval_steps_per_second": 35.335,
|
204 |
+
"step": 6500
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 875.0,
|
208 |
+
"grad_norm": 0.07584909349679947,
|
209 |
+
"learning_rate": 0.000125,
|
210 |
+
"loss": 0.0118,
|
211 |
+
"step": 7000
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 875.0,
|
215 |
+
"eval_loss": 0.3594026267528534,
|
216 |
+
"eval_runtime": 1.7559,
|
217 |
+
"eval_samples_per_second": 4474.601,
|
218 |
+
"eval_steps_per_second": 35.309,
|
219 |
+
"step": 7000
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 937.5,
|
223 |
+
"grad_norm": 0.04748733341693878,
|
224 |
+
"learning_rate": 6.25e-05,
|
225 |
+
"loss": 0.0112,
|
226 |
+
"step": 7500
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 937.5,
|
230 |
+
"eval_loss": 0.35810717940330505,
|
231 |
+
"eval_runtime": 1.7577,
|
232 |
+
"eval_samples_per_second": 4469.966,
|
233 |
+
"eval_steps_per_second": 35.273,
|
234 |
+
"step": 7500
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 1000.0,
|
238 |
+
"grad_norm": 0.0842234194278717,
|
239 |
+
"learning_rate": 0.0,
|
240 |
+
"loss": 0.0106,
|
241 |
+
"step": 8000
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 1000.0,
|
245 |
+
"eval_loss": 0.35844165086746216,
|
246 |
+
"eval_runtime": 1.7498,
|
247 |
+
"eval_samples_per_second": 4490.355,
|
248 |
+
"eval_steps_per_second": 35.434,
|
249 |
+
"step": 8000
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 1000.0,
|
253 |
+
"step": 8000,
|
254 |
+
"total_flos": 3.308878023570227e+16,
|
255 |
+
"train_loss": 0.04967061561346054,
|
256 |
+
"train_runtime": 721.4078,
|
257 |
+
"train_samples_per_second": 1386.178,
|
258 |
+
"train_steps_per_second": 11.089
|
259 |
}
|
260 |
],
|
261 |
"logging_steps": 500,
|
262 |
+
"max_steps": 8000,
|
263 |
"num_input_tokens_seen": 0,
|
264 |
+
"num_train_epochs": 1000,
|
265 |
"save_steps": 500,
|
266 |
+
"total_flos": 3.308878023570227e+16,
|
267 |
"train_batch_size": 16,
|
268 |
"trial_name": null,
|
269 |
"trial_params": null
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5112
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2897157a51be5f7f915a52c0ce8a7a5dd68d506352b5883c38401d0980d53d43
|
3 |
size 5112
|