End of training
Browse files
README.md
CHANGED
@@ -16,14 +16,14 @@ This student model is distilled from the teacher model [gpt2](https://huggingfac
|
|
16 |
The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
|
17 |
|
18 |
It achieves the following results on the evaluation set:
|
19 |
-
- eval_enwikippl:
|
20 |
-
- eval_frwikippl:
|
21 |
-
- eval_zhwikippl:
|
22 |
-
- eval_tinystoriesppl:
|
23 |
-
- eval_loss: 3.
|
24 |
-
- eval_runtime: 12.
|
25 |
-
- eval_samples_per_second: 46.
|
26 |
-
- eval_steps_per_second: 11.
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
29 |
should probably proofread and complete it, then remove this comment.
|
@@ -46,7 +46,7 @@ More information needed
|
|
46 |
### Training hyperparameters
|
47 |
|
48 |
The following hyperparameters were used during training:
|
49 |
-
- distillation_objective: DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl, layer_mapper=None, projector=None), hs_loss_component=LossComponent(label=hs, weight=1.0, loss_fn=kl, layer_mapper=
|
50 |
- train_embeddings: True
|
51 |
- learning_rate: 0.0001
|
52 |
- train_batch_size: 8
|
@@ -64,17 +64,17 @@ Peak GPU Memory: 8.0905 GB
|
|
64 |
| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
|
65 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
|
66 |
| **teacher eval** | | 43.75 | 61.75 | | | | | 11.8125 | 19.125 |
|
67 |
-
| 0 | 0 | 1821066133504.0 | 158329674399744.0 | 25.4650 | 12.
|
68 |
-
| 750 | 0.1010 |
|
69 |
-
| 1500 | 0.2020 |
|
70 |
-
| 2250 | 0.3030 | 448.0 |
|
71 |
-
| 3000 | 0.4040 | 318.0 | 1424.0 | 1.
|
72 |
-
| 3750 | 0.5051 |
|
73 |
-
| 4500 | 0.6061 |
|
74 |
-
| 5250 | 0.7071 |
|
75 |
-
| 6000 | 0.8081 | 134.0 | 490.0 | 1.
|
76 |
-
| 6750 | 0.9091 | 125.
|
77 |
-
| 7425 | 1.0 | 124.0 | 462.0 | 0.
|
78 |
|
79 |
### Framework versions
|
80 |
- Distily 0.2.0
|
|
|
16 |
The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
|
17 |
|
18 |
It achieves the following results on the evaluation set:
|
19 |
+
- eval_enwikippl: 2144.0
|
20 |
+
- eval_frwikippl: 8704.0
|
21 |
+
- eval_zhwikippl: 148480.0
|
22 |
+
- eval_tinystoriesppl: 1648.0
|
23 |
+
- eval_loss: 3.2443
|
24 |
+
- eval_runtime: 12.9651
|
25 |
+
- eval_samples_per_second: 46.278
|
26 |
+
- eval_steps_per_second: 11.569
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
29 |
should probably proofread and complete it, then remove this comment.
|
|
|
46 |
### Training hyperparameters
|
47 |
|
48 |
The following hyperparameters were used during training:
|
49 |
+
- distillation_objective: DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl, layer_mapper=None, projector=None), hs_loss_component=LossComponent(label=hs, weight=1.0, loss_fn=kl, layer_mapper=uniform_cons, projector=None), attn_loss_component=LossComponent(label=attn, weight=0, loss_fn=None, layer_mapper=None, projector=None))
|
50 |
- train_embeddings: True
|
51 |
- learning_rate: 0.0001
|
52 |
- train_batch_size: 8
|
|
|
64 |
| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
|
65 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
|
66 |
| **teacher eval** | | 43.75 | 61.75 | | | | | 11.8125 | 19.125 |
|
67 |
+
| 0 | 0 | 1821066133504.0 | 158329674399744.0 | 25.4650 | 12.9053 | 46.493 | 11.623 | 12079595520.0 | 98956046499840.0 |
|
68 |
+
| 750 | 0.1010 | 2144.0 | 8704.0 | 3.2443 | 12.9651 | 46.278 | 11.569 | 1648.0 | 148480.0 |
|
69 |
+
| 1500 | 0.2020 | 776.0 | 4800.0 | 2.2942 | 12.9521 | 46.325 | 11.581 | 568.0 | 4736.0 |
|
70 |
+
| 2250 | 0.3030 | 448.0 | 2832.0 | 1.9334 | 12.9674 | 46.27 | 11.568 | 358.0 | 592.0 |
|
71 |
+
| 3000 | 0.4040 | 318.0 | 1424.0 | 1.6643 | 13.0049 | 46.136 | 11.534 | 256.0 | 308.0 |
|
72 |
+
| 3750 | 0.5051 | 249.0 | 912.0 | 1.4761 | 12.9665 | 46.273 | 11.568 | 198.0 | 474.0 |
|
73 |
+
| 4500 | 0.6061 | 188.0 | 684.0 | 1.2711 | 12.9804 | 46.224 | 11.556 | 152.0 | 354.0 |
|
74 |
+
| 5250 | 0.7071 | 147.0 | 560.0 | 1.1017 | 12.9809 | 46.222 | 11.555 | 116.0 | 218.0 |
|
75 |
+
| 6000 | 0.8081 | 134.0 | 490.0 | 1.0242 | 12.9725 | 46.252 | 11.563 | 105.5 | 186.0 |
|
76 |
+
| 6750 | 0.9091 | 125.5 | 464.0 | 0.9844 | 12.9741 | 46.246 | 11.561 | 99.0 | 175.0 |
|
77 |
+
| 7425 | 1.0 | 124.0 | 462.0 | 0.9768 | 12.938 | 46.375 | 11.594 | 97.5 | 165.0 |
|
78 |
|
79 |
### Framework versions
|
80 |
- Distily 0.2.0
|
logs/hs_layer_mapper=uniform_cons, hs_loss_fn=kl, hs_weight=1.0/events.out.tfevents.1724099533.f383272e719b
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c707c9e2f10bf32b3c0fc8a58fa17cb014e32073e8e502793efe68b12c10a9bd
|
3 |
+
size 578
|