Training in progress, step 12375
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README.md
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---
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license: mit
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base_model: gpt2
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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_gpt2_attn
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results: []
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---
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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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# distily_bench_gpt2_attn
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1698
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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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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 4e-05
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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: constant
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- num_epochs: 1.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:-----:|:---------------:|
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| No log | 0 | 0 | 6.0237 |
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| 2.0831 | 0.0808 | 1000 | 2.0503 |
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| 1.9875 | 0.1616 | 2000 | 1.8577 |
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| 1.7222 | 0.2424 | 3000 | 1.7444 |
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| 1.625 | 0.3232 | 4000 | 1.6547 |
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| 1.5466 | 0.4040 | 5000 | 1.5704 |
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| 1.482 | 0.4848 | 6000 | 1.4916 |
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| 1.3055 | 0.5657 | 7000 | 1.4296 |
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| 1.3487 | 0.6465 | 8000 | 1.3749 |
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| 1.5284 | 0.7273 | 9000 | 1.3261 |
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| 1.3073 | 0.8081 | 10000 | 1.2775 |
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| 1.2886 | 0.8889 | 11000 | 1.2243 |
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| 1.2192 | 0.9697 | 12000 | 1.1816 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.3.0
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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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/attn_loss_fn=mse, attn_weight=2.0/events.out.tfevents.1723656416.93d6cbb3ad53
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size 3345958
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logs/events.out.tfevents.1723656174.93d6cbb3ad53
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model.safetensors
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training_args.bin
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