End of training
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README.md
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---
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base_model: roneneldan/TinyStories-33M
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library_name: Distily
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tags:
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- generated_from_trainer
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model-index:
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- name: distily_bench_obj_cross_v2.7
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results: []
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---
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# distily_bench_obj_cross_v2.7
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This student model is distilled from the teacher model [roneneldan/TinyStories-33M](https://huggingface.co/roneneldan/TinyStories-33M) 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: 167.9577
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- eval_frwikippl: 36527.4492
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- eval_zhwikippl: 179398.4219
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- eval_tinystoriesppl: 10.7634
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- eval_loss: 1.3170
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- eval_runtime: 6.482
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- eval_samples_per_second: 77.137
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- eval_steps_per_second: 9.719
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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=None, layer_mapper=None, projector=None), attn_loss_component=LossComponent(label=attn, weight=0, loss_fn=None, layer_mapper=None, projector=None))
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- train_embeddings: True
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- learning_rate: 0.004
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- train_batch_size: 8
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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: linear
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- num_epochs: 1.0
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### Resource Usage
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Peak GPU Memory: 8.0557 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** | | 169.9865 | 47377.9414 | | | | | 3.9789 | 4998.1294 |
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| 0 | 0 | 21812.5137 | 63073.9414 | 6.0880 | 6.5014 | 76.907 | 9.69 | 11544.7471 | 48756.5938 |
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| 500 | 0.0808 | 207.5609 | 68082.6719 | 1.4006 | 6.4908 | 77.032 | 9.706 | 11.2631 | 330400.9375 |
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| 1000 | 0.1616 | 175.8123 | 42073.3594 | 1.3250 | 6.5141 | 76.756 | 9.671 | 10.6938 | 234691.875 |
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| 1500 | 0.2424 | 169.7431 | 37693.0312 | 1.3185 | 6.4776 | 77.19 | 9.726 | 10.7252 | 183317.4531 |
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| 2000 | 0.3232 | 168.7467 | 36424.6914 | 1.3180 | 6.4817 | 77.14 | 9.72 | 10.8563 | 177257.4688 |
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| 2500 | 0.4040 | 168.3811 | 36910.1914 | 1.3173 | 6.4798 | 77.163 | 9.723 | 10.8075 | 184790.6562 |
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| 3000 | 0.4848 | 166.7585 | 36342.6992 | 1.3171 | 6.4837 | 77.116 | 9.717 | 10.6836 | 179207.0781 |
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| 3500 | 0.5656 | 168.1269 | 36651.1523 | 1.3173 | 6.4924 | 77.014 | 9.704 | 10.7683 | 179589.9688 |
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| 4000 | 0.6464 | 168.4202 | 36404.2031 | 1.3173 | 6.4897 | 77.045 | 9.708 | 10.7906 | 180599.0 |
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| 4500 | 0.7272 | 167.8602 | 36342.6992 | 1.3173 | 6.5499 | 76.338 | 9.619 | 10.7915 | 178348.4531 |
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| 5000 | 0.8080 | 167.6392 | 36548.0430 | 1.3173 | 6.5041 | 76.875 | 9.686 | 10.7287 | 180261.9219 |
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| 5500 | 0.8888 | 168.0618 | 36527.4492 | 1.3174 | 6.5137 | 76.761 | 9.672 | 10.7701 | 179302.6406 |
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| 6000 | 0.9696 | 168.0098 | 36527.4492 | 1.3170 | 6.4907 | 77.034 | 9.706 | 10.7678 | 179398.4219 |
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| 6188 | 1.0 | 167.9577 | 36527.4492 | 1.3170 | 6.482 | 77.137 | 9.719 | 10.7634 | 179398.4219 |
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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/dropout=0, learning_rate=0.004, weight_decay=0.001/events.out.tfevents.1723865751.5f530b1cf724
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version https://git-lfs.github.com/spec/v1
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oid sha256:5b58b027d8c2bfa3da011917f89094c44917fd2d11ffa96a4cc6fb0a35d6fd41
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size 307
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