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distily_bench_obj_cross_v2.13_gpt2
lapp0/distily_bench_obj_cross_v2.13_gpt2
distily_bench_obj_cross_v2.13_gpt2 is a machine learning model from lapp0. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for Distily. The card lists the license as mit.
This student model is distilled from the teacher model gpt2 using the dataset (unspecified).
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At a glance
- Library
- Distily
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Aug 19, 2024
- Updated
- Aug 20, 2024
- SHA
- fa57b178
Base models
Model card
From the Hugging Face model README
distily_bench_obj_cross_v2.13_gpt2
This student model is distilled from the teacher model gpt2 using the dataset (unspecified).
The Distily library was used for this distillation.
It achieves the following results on the evaluation set:
- eval_enwikippl: 1376.0
- eval_frwikippl: 5824.0
- eval_zhwikippl: 101888.0
- eval_tinystoriesppl: 972.0
- eval_loss: 3.1064
- eval_runtime: 12.9246
- eval_samples_per_second: 46.423
- eval_steps_per_second: 11.606
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=1.0, loss_fn=cos, layer_mapper=uniform_cons, projector=None), attn_loss_component=LossComponent(label=attn, weight=0, loss_fn=None, layer_mapper=None, projector=None))
- train_embeddings: True
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.5
- num_epochs: 1.0
Resource Usage
Peak GPU Memory: 8.0905 GB
Eval-Phase Metrics
| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
|---|---|---|---|---|---|---|---|---|---|
| teacher eval | 43.75 | 61.75 | 11.8125 | 19.125 | |||||
| 0 | 0 | 1821066133504.0 | 158329674399744.0 | 20.2008 | 12.884 | 46.569 | 11.642 | 12079595520.0 | 98956046499840.0 |
| 750 | 0.1010 | 1376.0 | 5824.0 | 3.1064 | 12.9246 | 46.423 | 11.606 | 972.0 | 101888.0 |
| 1500 | 0.2020 | 584.0 | 3552.0 | 2.2186 | 12.958 | 46.304 | 11.576 | 438.0 | 1012.0 |
| 2250 | 0.3030 | 376.0 | 1888.0 | 1.9252 | 12.9544 | 46.316 | 11.579 | 312.0 | 366.0 |
| 3000 | 0.4040 | 266.0 | 1072.0 | 1.6667 | 13.0268 | 46.059 | 11.515 | 227.0 | 203.0 |
| 3750 | 0.5051 | 211.0 | 736.0 | 1.4766 | 12.9492 | 46.335 | 11.584 | 175.0 | 233.0 |
| 4500 | 0.6061 | 171.0 | 588.0 | 1.2986 | 13.0596 | 45.943 | 11.486 | 141.0 | 147.0 |
| 5250 | 0.7071 | 134.0 | 480.0 | 1.1348 | 12.9613 | 46.292 | 11.573 | 110.5 | 154.0 |
| 6000 | 0.8081 | 125.0 | 456.0 | 1.0662 | 12.9543 | 46.317 | 11.579 | 100.0 | 129.0 |
| 6750 | 0.9091 | 119.0 | 440.0 | 1.0325 | 12.9319 | 46.397 | 11.599 | 96.0 | 122.5 |
| 7425 | 1.0 | 118.0 | 436.0 | 1.0267 | 12.9764 | 46.238 | 11.559 | 94.5 | 122.0 |
Framework versions
- Distily 0.2.0
- Transformers 4.44.0
- Pytorch 2.3.0
- Datasets 2.21.0
- Library
- Distily
- Type
- gpt2
- License
- mit
- Created
- Aug 19, 2024
- Updated
- Aug 20, 2024