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_reverse_kl
+  results: []
+---
+
+# distily_experiments_loss_reverse_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: 2760.3779
+- eval_frwikippl: 28158.2578
+- eval_zhwikippl: 441247.4688
+- eval_loss: 3.1654
+- eval_runtime: 90.8509
+- eval_samples_per_second: 11.007
+- 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: reverse_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: 19.8832 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 | 180187.8438 | 182062.6875 | 131.8108 | 90.6539 | 11.031 | 2.758 | 181762.375 |
+| 500 | 0.0808 | 14699.2041 | 52797.9922 | 6.0418 | 90.8884 | 11.003 | 2.751 | 371252.0312 |
+| 1000 | 0.1616 | 8812.4561 | 47709.9297 | 4.9882 | 90.8533 | 11.007 | 2.752 | 384212.3438 |
+| 1500 | 0.2424 | 7321.3081 | 44922.375 | 4.6195 | 90.7179 | 11.023 | 2.756 | 400192.5625 |
+| 2000 | 0.3232 | 6277.4165 | 42254.6719 | 4.2012 | 90.8257 | 11.01 | 2.753 | 423631.0938 |
+| 2500 | 0.4040 | 5452.0264 | 39927.7812 | 3.9955 | 90.7803 | 11.016 | 2.754 | 445022.5938 |
+| 3000 | 0.4848 | 4708.5049 | 37660.8359 | 3.7784 | 90.8232 | 11.01 | 2.753 | 447453.4375 |
+| 3500 | 0.5657 | 4329.6147 | 35350.4805 | 3.6816 | 90.8654 | 11.005 | 2.751 | 455292.8125 |
+| 4000 | 0.6465 | 3840.0864 | 33493.6836 | 3.5800 | 90.7858 | 11.015 | 2.754 | 446474.3125 |
+| 4500 | 0.7273 | 3495.4482 | 31764.3340 | 3.4447 | 90.8083 | 11.012 | 2.753 | 447611.3438 |
+| 5000 | 0.8081 | 3245.5376 | 30812.8379 | 3.3323 | 90.7976 | 11.014 | 2.753 | 448982.8438 |
+| 5500 | 0.8889 | 3057.9595 | 29516.0742 | 3.2926 | 90.7385 | 11.021 | 2.755 | 459842.8125 |
+| 6000 | 0.9697 | 2831.3643 | 28517.0625 | 3.1956 | 90.7677 | 11.017 | 2.754 | 441979.4375 |
+| 6187 | 0.9999 | 2760.3779 | 28158.2578 | 3.1654 | 90.8509 | 11.007 | 2.752 | 441247.4688 |
+
+### 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_07-18-29_232a0f8c3879/events.out.tfevents.1722944962.232a0f8c3879

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+oid sha256:219fef72ae0d4d3377bf62141f6e8bebf5c523f369cfbf2c24b1b824c2f84558
+size 520