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End of training
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README.md
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---
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license: gemma
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library_name: peft
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tags:
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- generator
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base_model: google/gemma-2b
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model-index:
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- name: gemma-2b-dolly-qa
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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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# gemma-2b-dolly-qa
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0215
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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: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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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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- lr_scheduler_warmup_ratio: 0.05
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- training_steps: 1480
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.9198 | 1.64 | 100 | 2.5675 |
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| 2.437 | 3.28 | 200 | 2.2818 |
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| 2.2514 | 4.92 | 300 | 2.1677 |
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| 2.1587 | 6.56 | 400 | 2.1038 |
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| 2.116 | 8.2 | 500 | 2.0741 |
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| 2.0794 | 9.84 | 600 | 2.0576 |
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| 2.0663 | 11.48 | 700 | 2.0467 |
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| 2.0494 | 13.11 | 800 | 2.0394 |
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| 2.0449 | 14.75 | 900 | 2.0336 |
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| 2.0336 | 16.39 | 1000 | 2.0293 |
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| 2.0281 | 18.03 | 1100 | 2.0262 |
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| 2.0172 | 19.67 | 1200 | 2.0240 |
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| 2.0227 | 21.31 | 1300 | 2.0227 |
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| 2.0128 | 22.95 | 1400 | 2.0215 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.39.3
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- Pytorch 2.0.1a0+cxx11.abi
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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adapter_model.safetensors
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size 156926880
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size 156926880
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runs/Apr11_15-24-17_idc-beta-batch-pvc-node-14/events.out.tfevents.1712874260.idc-beta-batch-pvc-node-14
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size 11817
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