End of training
Browse files
README.md
CHANGED
@@ -15,14 +15,14 @@ This student model is distilled from the teacher model [roneneldan/TinyStories-3
|
|
15 |
The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
|
16 |
|
17 |
It achieves the following results on the evaluation set:
|
18 |
-
- eval_enwikippl:
|
19 |
-
- eval_frwikippl:
|
20 |
-
- eval_zhwikippl:
|
21 |
-
- eval_tinystoriesppl:
|
22 |
-
- eval_loss: 2.
|
23 |
-
- eval_runtime: 65.
|
24 |
-
- eval_samples_per_second: 76.
|
25 |
-
- eval_steps_per_second: 9.
|
26 |
|
27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
28 |
should probably proofread and complete it, then remove this comment.
|
@@ -53,38 +53,37 @@ The following hyperparameters were used during training:
|
|
53 |
- seed: 42
|
54 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
55 |
- lr_scheduler_type: constant
|
56 |
-
- lr_scheduler_warmup_ratio: 0.1
|
57 |
- num_epochs: 1.0
|
58 |
|
59 |
### Resource Usage
|
60 |
-
Peak GPU Memory: 8.
|
61 |
|
62 |
### Eval-Phase Metrics
|
63 |
| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
|
64 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
|
65 |
| **teacher eval** | | 169.9865 | 47377.9414 | | | | | 3.9789 | 4998.1294 |
|
66 |
-
| 0 | 0 |
|
67 |
-
| 3000 | 0.0485 |
|
68 |
-
| 6000 | 0.0970 |
|
69 |
-
| 9000 | 0.1455 |
|
70 |
-
| 12000 | 0.1939 |
|
71 |
-
| 15000 | 0.2424 |
|
72 |
-
| 18000 | 0.2909 |
|
73 |
-
| 21000 | 0.3394 |
|
74 |
-
| 24000 | 0.3879 |
|
75 |
-
| 27000 | 0.4364 |
|
76 |
-
| 30000 | 0.4848 |
|
77 |
-
| 33000 | 0.5333 |
|
78 |
-
| 36000 | 0.5818 |
|
79 |
-
| 39000 | 0.6303 |
|
80 |
-
| 42000 | 0.6788 |
|
81 |
-
| 45000 | 0.7273 |
|
82 |
-
| 48000 | 0.7758 |
|
83 |
-
| 51000 | 0.8242 |
|
84 |
-
| 54000 | 0.8727 |
|
85 |
-
| 57000 | 0.9212 |
|
86 |
-
| 60000 | 0.9697 |
|
87 |
-
| 61875 | 1.0 |
|
88 |
|
89 |
### Framework versions
|
90 |
- Distily 0.2.0
|
|
|
15 |
The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
|
16 |
|
17 |
It achieves the following results on the evaluation set:
|
18 |
+
- eval_enwikippl: 150.6954
|
19 |
+
- eval_frwikippl: 20983.1934
|
20 |
+
- eval_zhwikippl: 163274.0312
|
21 |
+
- eval_tinystoriesppl: 13.6584
|
22 |
+
- eval_loss: 2.1824
|
23 |
+
- eval_runtime: 65.7475
|
24 |
+
- eval_samples_per_second: 76.049
|
25 |
+
- eval_steps_per_second: 9.506
|
26 |
|
27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
28 |
should probably proofread and complete it, then remove this comment.
|
|
|
53 |
- seed: 42
|
54 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
55 |
- lr_scheduler_type: constant
|
|
|
56 |
- num_epochs: 1.0
|
57 |
|
58 |
### Resource Usage
|
59 |
+
Peak GPU Memory: 8.2666 GB
|
60 |
|
61 |
### Eval-Phase Metrics
|
62 |
| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
|
63 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
|
64 |
| **teacher eval** | | 169.9865 | 47377.9414 | | | | | 3.9789 | 4998.1294 |
|
65 |
+
| 0 | 0 | 15507.5488 | 57030.9961 | 5.9658 | 65.2151 | 76.669 | 9.584 | 7965.0278 | 102309.4219 |
|
66 |
+
| 3000 | 0.0485 | 150.3223 | 21042.3887 | 2.1825 | 65.2954 | 76.575 | 9.572 | 13.5953 | 164147.5625 |
|
67 |
+
| 6000 | 0.0970 | 150.5029 | 21042.3887 | 2.1824 | 65.675 | 76.132 | 9.517 | 13.6268 | 164498.2812 |
|
68 |
+
| 9000 | 0.1455 | 150.6954 | 20983.1934 | 2.1824 | 65.7475 | 76.049 | 9.506 | 13.6584 | 163274.0312 |
|
69 |
+
| 12000 | 0.1939 | 150.3514 | 20983.1934 | 2.1823 | 65.8055 | 75.981 | 9.498 | 13.6251 | 162882.4219 |
|
70 |
+
| 15000 | 0.2424 | 150.6196 | 21042.3887 | 2.1824 | 65.3959 | 76.457 | 9.557 | 13.6482 | 164147.5625 |
|
71 |
+
| 18000 | 0.2909 | 150.6487 | 21042.3887 | 2.1824 | 65.5594 | 76.267 | 9.533 | 13.6533 | 163797.5938 |
|
72 |
+
| 21000 | 0.3394 | 150.3980 | 21042.3887 | 2.1824 | 65.4773 | 76.362 | 9.545 | 13.6234 | 163972.4844 |
|
73 |
+
| 24000 | 0.3879 | 150.5495 | 21131.4961 | 2.1825 | 65.4348 | 76.412 | 9.551 | 13.6184 | 164849.75 |
|
74 |
+
| 27000 | 0.4364 | 150.7538 | 21042.3887 | 2.1822 | 65.4127 | 76.438 | 9.555 | 13.6635 | 162925.9219 |
|
75 |
+
| 30000 | 0.4848 | 150.6954 | 21042.3887 | 2.1825 | 65.4113 | 76.439 | 9.555 | 13.6510 | 164586.0 |
|
76 |
+
| 33000 | 0.5333 | 151.0109 | 20983.1934 | 2.1823 | 65.6274 | 76.188 | 9.523 | 13.6832 | 163186.8594 |
|
77 |
+
| 36000 | 0.5818 | 150.3514 | 21042.3887 | 2.1824 | 65.4107 | 76.44 | 9.555 | 13.6184 | 164586.0 |
|
78 |
+
| 39000 | 0.6303 | 150.6020 | 20983.1934 | 2.1823 | 65.415 | 76.435 | 9.554 | 13.6550 | 163884.9375 |
|
79 |
+
| 42000 | 0.6788 | 150.5495 | 21042.3887 | 2.1823 | 65.3696 | 76.488 | 9.561 | 13.6454 | 163186.8594 |
|
80 |
+
| 45000 | 0.7273 | 150.3223 | 20995.0234 | 2.1824 | 65.7092 | 76.093 | 9.512 | 13.6257 | 163274.0312 |
|
81 |
+
| 48000 | 0.7758 | 150.8706 | 21042.3887 | 2.1824 | 65.5511 | 76.276 | 9.535 | 13.6652 | 163186.8594 |
|
82 |
+
| 51000 | 0.8242 | 150.8940 | 21006.8594 | 2.1823 | 65.6118 | 76.206 | 9.526 | 13.6719 | 163186.8594 |
|
83 |
+
| 54000 | 0.8727 | 150.4738 | 20918.2773 | 2.1824 | 65.6557 | 76.155 | 9.519 | 13.6539 | 162925.9219 |
|
84 |
+
| 57000 | 0.9212 | 150.4446 | 21042.3887 | 2.1824 | 65.3885 | 76.466 | 9.558 | 13.6257 | 163622.8906 |
|
85 |
+
| 60000 | 0.9697 | 150.4097 | 20918.2773 | 2.1824 | 65.4087 | 76.442 | 9.555 | 13.6533 | 162795.4688 |
|
86 |
+
| 61875 | 1.0 | 150.6896 | 21042.3887 | 2.1825 | 65.8705 | 75.907 | 9.488 | 13.6533 | 163972.4844 |
|
87 |
|
88 |
### Framework versions
|
89 |
- Distily 0.2.0
|
logs/attn_loss_fn=mse, attn_weight=10.0, hs_loss_fn=mse, hs_weight=10.0, learning_rate=0.001, warmup_ratio=0/events.out.tfevents.1723827430.5f530b1cf724
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:290caa5fc136c4368d93e1f550a43ca0908e8207112bfdc8995dc1df842d9c99
|
3 |
+
size 312
|