End of training
Browse files
README.md
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---
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base_model: gpt2
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library_name: Distily
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: distily_modelcard_try
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results: []
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---
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# distily_modelcard_try
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This student model is distilled from the teacher model [gpt2](https://huggingface.co/gpt2) using the dataset (unspecified).
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The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
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It achieves the following results on the evaluation set:
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- eval_enwikippl: 38656.0
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- eval_frwikippl: 218112.0
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- eval_zhwikippl: 54001664.0
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- eval_tinystoriesppl: 12160.0
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- eval_loss: 6.4375
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- eval_runtime: 0.0668
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- eval_samples_per_second: 29.948
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- eval_steps_per_second: 14.974
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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-->
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- 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=mse, layer_mapper=last, projector=None), attn_loss_component=LossComponent(label=attn, weight=0, loss_fn=mse, layer_mapper=layer-2, projector=None))
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- train_embeddings: True
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- learning_rate: 0.0001
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.2
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- num_epochs: 1.0
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### Resource Usage
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Peak GPU Memory: 15.4263 GB
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### Eval-Phase Metrics
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| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
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| **teacher eval** | | 43.75 | 61.75 | | | | | 11.8125 | 19.125 |
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| 0 | 0 | 738734374912.0 | 47828755808256.0 | 20.375 | 0.128 | 15.619 | 7.81 | 2617245696.0 | 12232066859008.0 |
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| 10 | 1.0 | 38656.0 | 218112.0 | 6.4375 | 0.0668 | 29.948 | 14.974 | 12160.0 | 54001664.0 |
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### Framework versions
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- Distily 0.2.0
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- Transformers 4.44.0
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- Pytorch 2.3.0
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- Datasets 2.21.0
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.44.0"
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}
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logs/per_device_train_batch_size=16/events.out.tfevents.1724248995.f383272e719b
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version https://git-lfs.github.com/spec/v1
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oid sha256:85235a35b5393c4397a5476fdf12f88209b0d16c9ba37da0adbd3bc750ce7cc1
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size 302
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