End of training

README.md

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+---
+base_model: Qwen/Qwen2-0.5B-Instruct
+library_name: distily
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: distily_experiments_loss_kl
+  results: []
+---
+
+# distily_experiments_loss_kl
+
+This student model is distilled from the teacher model [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) 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: nan
+- eval_frwikippl: nan
+- eval_zhwikippl: nan
+- eval_loss: nan
+- eval_runtime: 90.8319
+- eval_samples_per_second: 11.009
+- eval_steps_per_second: 2.752
+
+<!-- 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_strategy: logits_activations
+- loss_fn: kl
+- train_embeddings: True
+- learning_rate: 4e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- 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: 19.8804 GB
+
+### Eval-Phase Metrics
+| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | zhwikippl |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| **teacher eval** |  | 13.0697 | 11.6518 |  |  |  |  | 21.6262 |
+| 0 | 0 | 179854.0938 | 180181.3125 | 782.5541 | 90.5683 | 11.041 | 2.76 | 180786.8438 |
+| 500 | 0.0808 | nan | nan | nan | 90.7978 | 11.013 | 2.753 | nan |
+| 1000 | 0.1616 | nan | nan | nan | 91.1195 | 10.975 | 2.744 | nan |
+| 1500 | 0.2424 | nan | nan | nan | 90.9106 | 11.0 | 2.75 | nan |
+| 2000 | 0.3232 | nan | nan | nan | 90.7616 | 11.018 | 2.754 | nan |
+| 2500 | 0.4040 | nan | nan | nan | 90.73 | 11.022 | 2.755 | nan |
+| 3000 | 0.4848 | nan | nan | nan | 90.7247 | 11.022 | 2.756 | nan |
+| 3500 | 0.5657 | nan | nan | nan | 90.5701 | 11.041 | 2.76 | nan |
+| 4000 | 0.6465 | nan | nan | nan | 90.768 | 11.017 | 2.754 | nan |
+| 4500 | 0.7273 | nan | nan | nan | 90.8206 | 11.011 | 2.753 | nan |
+| 5000 | 0.8081 | nan | nan | nan | 90.7225 | 11.023 | 2.756 | nan |
+| 5500 | 0.8889 | nan | nan | nan | 90.7674 | 11.017 | 2.754 | nan |
+| 6000 | 0.9697 | nan | nan | nan | 90.7133 | 11.024 | 2.756 | nan |
+| 6187 | 0.9999 | nan | nan | nan | 90.8319 | 11.009 | 2.752 | nan |
+
+### Framework versions
+- Distily 0.1.0
+- Transformers 4.43.3
+- Pytorch 2.3.0
+- Datasets 2.20.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "transformers_version": "4.43.3"
+}

runs/Aug06_11-54-01_232a0f8c3879/events.out.tfevents.1722962670.232a0f8c3879

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+size 520