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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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- alignment-handbook |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: google/gemma-7b |
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datasets: |
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- chansung/synth_ds |
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model-index: |
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- name: llamaduo_synth_ds_v0.1 |
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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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# llamaduo_synth_ds_v0.1 |
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the chansung/synth_ds dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.8292 |
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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: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 3 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 12 |
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- total_eval_batch_size: 12 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.7837 | 0.9995 | 939 | 1.9731 | |
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| 0.7509 | 2.0 | 1879 | 1.9719 | |
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| 0.7086 | 2.9995 | 2817 | 2.0286 | |
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| 0.6156 | 4.0 | 3757 | 2.1647 | |
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| 0.4937 | 4.9995 | 4696 | 2.3686 | |
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| 0.4075 | 6.0 | 5636 | 2.7269 | |
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| 0.3395 | 6.9995 | 6575 | 3.1681 | |
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| 0.2962 | 8.0 | 7515 | 3.6134 | |
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| 0.284 | 8.9995 | 8454 | 3.8100 | |
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| 0.2782 | 9.9957 | 9390 | 3.8292 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.0 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.19.1 |
