File size: 3,300 Bytes
ce92c14 542a4f1 ce92c14 542a4f1 ce92c14 de9012e 542a4f1 ce92c14 542a4f1 ce92c14 de9012e 542a4f1 ce92c14 542a4f1 de9012e 542a4f1 de9012e ce92c14 542a4f1 ce92c14 |
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 |
---
base_model: gpt2
library_name: Distily
license: mit
tags:
- generated_from_trainer
model-index:
- name: distily_bench_gpt2_attn
results: []
---
# distily_bench_gpt2_attn
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: 228.1461
- eval_frwikippl: 1416.6694
- eval_zhwikippl: 848.6490
- eval_loss: 2.4667
- eval_runtime: 17.2058
- eval_samples_per_second: 58.12
- eval_steps_per_second: 7.265
<!-- 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: 8.2195 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 | 56797.875 | 58468.6992 | 8.0273 | 17.152 | 58.302 | 7.288 | 59002.2891 |
| 1000 | 0.0808 | 797.1624 | 5157.9775 | 3.3194 | 17.2397 | 58.006 | 7.251 | 24401.0566 |
| 2000 | 0.1616 | 567.0632 | 3629.1594 | 3.0871 | 17.1941 | 58.16 | 7.27 | 3184.9797 |
| 3000 | 0.2424 | 464.5085 | 3017.8862 | 2.9667 | 17.2095 | 58.108 | 7.263 | 1129.6726 |
| 4000 | 0.3232 | 401.2574 | 2690.6233 | 2.8541 | 17.2873 | 57.846 | 7.231 | 880.7457 |
| 5000 | 0.4040 | 348.5625 | 2427.4329 | 2.7534 | 17.2981 | 57.81 | 7.226 | 1079.5291 |
| 6000 | 0.4848 | 304.7929 | 2054.1772 | 2.6701 | 17.2106 | 58.104 | 7.263 | 904.3437 |
| 7000 | 0.5657 | 277.6311 | 1738.0712 | 2.5931 | 17.2745 | 57.889 | 7.236 | 861.2068 |
| 8000 | 0.6465 | 248.1049 | 1555.2847 | 2.5229 | 17.2275 | 58.047 | 7.256 | 875.1184 |
| 9000 | 0.7273 | 228.1461 | 1416.6694 | 2.4667 | 17.2058 | 58.12 | 7.265 | 848.6490 |
| 10000 | 0.8081 | 208.8987 | 1238.1790 | 2.4113 | 17.26 | 57.938 | 7.242 | 711.3105 |
| 11000 | 0.8889 | 194.2086 | 1232.7786 | 2.3591 | 17.2456 | 57.986 | 7.248 | 517.6449 |
| 12000 | 0.9697 | 175.7651 | 1108.7455 | 2.3060 | 17.3467 | 57.648 | 7.206 | 513.5140 |
| 12375 | 1.0 | 170.5086 | 1069.4347 | 2.2860 | 17.2133 | 58.095 | 7.262 | 531.0175 |
### Framework versions
- Distily 0.2.0
- Transformers 4.44.0
- Pytorch 2.3.0
- Datasets 2.20.0
|