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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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- llama-duo/synth_coding_dataset_dedup |
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model-index: |
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- name: gemma7b-coding-gpt4o-100k |
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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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# gemma7b-coding-gpt4o-100k |
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the llama-duo/synth_coding_dataset_dedup dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.9658 |
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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: 4 |
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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: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- total_eval_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: 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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| 0.5262 | 0.9989 | 470 | 1.3224 | |
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| 0.4826 | 2.0 | 941 | 1.3435 | |
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| 0.4369 | 2.9989 | 1411 | 1.4787 | |
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| 0.3819 | 4.0 | 1882 | 1.7432 | |
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| 0.3345 | 4.9989 | 2352 | 2.1234 | |
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| 0.2875 | 6.0 | 2823 | 2.5846 | |
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| 0.2319 | 6.9989 | 3293 | 3.1057 | |
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| 0.1968 | 8.0 | 3764 | 3.6609 | |
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| 0.1809 | 8.9989 | 4234 | 3.9400 | |
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| 0.1757 | 9.9894 | 4700 | 3.9658 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.40.1 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
