File size: 7,612 Bytes
c89c53d 8eac14b c89c53d 8eac14b c89c53d 7ca32b8 c89c53d 8eac14b c89c53d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 |
---
base_model: gpt2
library_name: Distily
license: mit
tags:
- generated_from_trainer
model-index:
- name: distily_bench_gpt2_attn_part_2
results: []
---
# distily_bench_gpt2_attn_part_2
This student model is distilled from the teacher model [gpt2](https://huggingface.co/gpt2) using the dataset (unspecified).
The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
It achieves the following results on the evaluation set:
- eval_enwikippl: 234.3043
- eval_frwikippl: 1329.5667
- eval_zhwikippl: 575.8531
- eval_loss: 2.4344
- eval_runtime: 87.576
- eval_samples_per_second: 57.093
- eval_steps_per_second: 7.137
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
-->
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- 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=0, loss_fn=None, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=2.0, loss_fn=cos, layer_mapper=None, projector=None))
- train_embeddings: True
- learning_rate: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0
### Resource Usage
Peak GPU Memory: 8.2206 GB
### Eval-Phase Metrics
| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | zhwikippl |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| **teacher eval** | | 30.2086 | 57.2728 | | | | | 18.1784 |
| 0 | 0 | 56314.7695 | 59887.2773 | 7.8201 | 86.1883 | 58.013 | 7.252 | 59033.8086 |
| 1000 | 0.0162 | 792.2872 | 4804.1196 | 3.2178 | 86.0729 | 58.09 | 7.261 | 14971.4619 |
| 2000 | 0.0323 | 563.5076 | 3594.0178 | 3.0017 | 86.8465 | 57.573 | 7.197 | 2436.5176 |
| 3000 | 0.0485 | 462.8162 | 3038.3840 | 2.8886 | 86.4026 | 57.869 | 7.234 | 990.3070 |
| 4000 | 0.0646 | 394.8591 | 2549.8823 | 2.7877 | 86.3461 | 57.907 | 7.238 | 1110.5270 |
| 5000 | 0.0808 | 353.7159 | 2113.5315 | 2.6983 | 86.5685 | 57.758 | 7.22 | 845.9332 |
| 6000 | 0.0970 | 305.3852 | 1907.5966 | 2.6161 | 86.5704 | 57.756 | 7.22 | 792.3533 |
| 7000 | 0.1131 | 275.6120 | 1710.8368 | 2.5482 | 89.5827 | 55.814 | 6.977 | 704.9745 |
| 8000 | 0.1293 | 248.5870 | 1491.7041 | 2.4852 | 87.8996 | 56.883 | 7.11 | 655.4906 |
| 9000 | 0.1455 | 234.3043 | 1329.5667 | 2.4344 | 87.576 | 57.093 | 7.137 | 575.8531 |
| 10000 | 0.1616 | 210.1025 | 1200.8650 | 2.3778 | 88.2437 | 56.661 | 7.083 | 680.8273 |
| 11000 | 0.1778 | 195.9659 | 1137.0879 | 2.3352 | 87.2617 | 57.299 | 7.162 | 574.3172 |
| 12000 | 0.1939 | 177.5484 | 986.7017 | 2.2840 | 88.3708 | 56.58 | 7.072 | 511.2562 |
| 13000 | 0.2101 | 168.3902 | 992.2828 | 2.2496 | 86.6049 | 57.733 | 7.217 | 493.3487 |
| 14000 | 0.2263 | 159.1225 | 889.1183 | 2.2152 | 86.6651 | 57.693 | 7.212 | 434.3372 |
| 15000 | 0.2424 | 153.0509 | 800.1130 | 2.1876 | 86.8087 | 57.598 | 7.2 | 389.5484 |
| 16000 | 0.2586 | 146.4697 | 801.1292 | 2.1678 | 86.6505 | 57.703 | 7.213 | 490.2618 |
| 17000 | 0.2747 | 143.1525 | 782.1525 | 2.1519 | 86.9013 | 57.537 | 7.192 | 536.9359 |
| 18000 | 0.2909 | 139.4116 | 832.3362 | 2.1366 | 86.6158 | 57.726 | 7.216 | 568.2902 |
| 19000 | 0.3071 | 134.7601 | 733.2869 | 2.1223 | 86.3964 | 57.873 | 7.234 | 516.8853 |
| 20000 | 0.3232 | 132.8793 | 726.0842 | 2.1108 | 86.4694 | 57.824 | 7.228 | 376.9092 |
| 21000 | 0.3394 | 130.5677 | 658.1619 | 2.0982 | 86.9266 | 57.52 | 7.19 | 386.2850 |
| 22000 | 0.3556 | 130.3043 | 657.9764 | 2.0894 | 87.5122 | 57.135 | 7.142 | 418.9560 |
| 23000 | 0.3717 | 128.9555 | 687.2317 | 2.0831 | 87.0863 | 57.414 | 7.177 | 419.0120 |
| 24000 | 0.3879 | 125.7514 | 657.8835 | 2.0732 | 86.5642 | 57.761 | 7.22 | 391.6348 |
| 25000 | 0.4040 | 124.6431 | 676.3678 | 2.0703 | 86.6818 | 57.682 | 7.21 | 384.3811 |
| 26000 | 0.4202 | 124.4787 | 653.3537 | 2.0597 | 87.1964 | 57.342 | 7.168 | 403.9578 |
| 27000 | 0.4364 | 122.7223 | 659.5090 | 2.0546 | 86.5911 | 57.743 | 7.218 | 316.7159 |
| 28000 | 0.4525 | 123.1997 | 631.8794 | 2.0501 | 86.9662 | 57.494 | 7.187 | 295.1540 |
| 29000 | 0.4687 | 122.9990 | 659.6486 | 2.0423 | 87.0187 | 57.459 | 7.182 | 310.8498 |
| 30000 | 0.4848 | 123.1041 | 617.8698 | 2.0464 | 87.3158 | 57.263 | 7.158 | 315.3653 |
| 31000 | 0.5010 | 120.1201 | 613.0962 | 2.0351 | 87.311 | 57.267 | 7.158 | 308.4515 |
| 32000 | 0.5172 | 119.4781 | 630.6332 | 2.0323 | 87.0327 | 57.45 | 7.181 | 274.0701 |
| 33000 | 0.5333 | 118.0396 | 624.0867 | 2.0277 | 86.8174 | 57.592 | 7.199 | 285.6919 |
| 34000 | 0.5495 | 119.1354 | 588.2814 | 2.0249 | 86.7837 | 57.614 | 7.202 | 316.9274 |
| 35000 | 0.5657 | 117.2539 | 567.9440 | 2.0212 | 87.7979 | 56.949 | 7.119 | 303.2645 |
| 36000 | 0.5818 | 117.5548 | 608.1882 | 2.0241 | 86.4044 | 57.867 | 7.233 | 256.7451 |
| 37000 | 0.5980 | 116.6455 | 600.1797 | 2.0164 | 87.1429 | 57.377 | 7.172 | 345.4349 |
| 38000 | 0.6141 | 116.6998 | 564.5506 | 2.0140 | 87.5854 | 57.087 | 7.136 | 283.1472 |
| 39000 | 0.6303 | 113.8975 | 538.0084 | 2.0085 | 86.8118 | 57.596 | 7.199 | 285.9208 |
| 40000 | 0.6465 | 115.6533 | 579.6762 | 2.0130 | 87.6272 | 57.06 | 7.132 | 268.8502 |
| 41000 | 0.6626 | 114.0037 | 569.7087 | 2.0107 | 86.8951 | 57.541 | 7.193 | 298.6428 |
| 42000 | 0.6788 | 114.4206 | 558.2177 | 2.0114 | 86.4056 | 57.867 | 7.233 | 325.7667 |
| 43000 | 0.6949 | 114.1277 | 570.9554 | 2.0067 | 86.7633 | 57.628 | 7.204 | 297.6475 |
| 44000 | 0.7111 | 112.6310 | 603.2343 | 2.0041 | 87.2036 | 57.337 | 7.167 | 265.9578 |
| 45000 | 0.7273 | 112.3951 | 582.9551 | 1.9978 | 86.1934 | 58.009 | 7.251 | 276.3855 |
| 46000 | 0.7434 | 112.9463 | 591.3171 | 1.9976 | 86.5934 | 57.741 | 7.218 | 270.1097 |
| 47000 | 0.7596 | 112.1510 | 564.6300 | 1.9943 | 86.827 | 57.586 | 7.198 | 323.6853 |
| 48000 | 0.7758 | 112.8236 | 513.6188 | 1.9968 | 86.3974 | 57.872 | 7.234 | 305.2553 |
| 49000 | 0.7919 | 112.7886 | 565.1480 | 1.9948 | 86.5571 | 57.765 | 7.221 | 276.0167 |
| 50000 | 0.8081 | 111.8900 | 592.2350 | 1.9932 | 86.9533 | 57.502 | 7.188 | 247.9840 |
| 51000 | 0.8242 | 111.4391 | 588.3229 | 1.9920 | 86.4566 | 57.832 | 7.229 | 298.2842 |
| 52000 | 0.8404 | 109.9350 | 549.1997 | 1.9904 | 86.5867 | 57.746 | 7.218 | 318.3695 |
| 53000 | 0.8566 | 110.8264 | 544.7263 | 1.9856 | 87.1758 | 57.355 | 7.169 | 311.5147 |
| 54000 | 0.8727 | 111.0849 | 544.9952 | 1.9857 | 87.388 | 57.216 | 7.152 | 334.9867 |
| 55000 | 0.8889 | 111.1799 | 602.7242 | 1.9865 | 86.8376 | 57.579 | 7.197 | 265.1776 |
| 56000 | 0.9051 | 111.2490 | 553.5536 | 1.9821 | 87.5367 | 57.119 | 7.14 | 326.5943 |
| 57000 | 0.9212 | 110.1914 | 582.8317 | 1.9870 | 87.0656 | 57.428 | 7.178 | 1162.1104 |
| 58000 | 0.9374 | 109.1016 | 657.6982 | 1.9860 | 86.6253 | 57.72 | 7.215 | 322.6926 |
| 59000 | 0.9535 | 111.8119 | 596.5937 | 1.9831 | 86.3097 | 57.931 | 7.241 | 408.6782 |
| 60000 | 0.9697 | 108.9746 | 586.0871 | 1.9748 | 86.6963 | 57.673 | 7.209 | 268.2405 |
| 61000 | 0.9859 | 109.9862 | 560.1890 | 1.9777 | 86.8734 | 57.555 | 7.194 | 294.4846 |
| 61875 | 1.0 | 110.1401 | 573.6587 | 1.9760 | 86.766 | 57.626 | 7.203 | 273.4851 |
### Framework versions
- Distily 0.2.0
- Transformers 4.44.0
- Pytorch 2.3.0
- Datasets 2.20.0
|