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--- |
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base_model: google/gemma-2-2b-it |
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datasets: |
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- GaetanMichelet/chat-60_ft_task-2 |
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- GaetanMichelet/chat-120_ft_task-2 |
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- GaetanMichelet/chat-180_ft_task-2 |
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library_name: peft |
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license: gemma |
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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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model-index: |
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- name: Gemma-2-2B_task-2_180-samples_config-2_full |
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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-2-2B_task-2_180-samples_config-2_full |
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This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the GaetanMichelet/chat-60_ft_task-2, the GaetanMichelet/chat-120_ft_task-2 and the GaetanMichelet/chat-180_ft_task-2 datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8710 |
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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: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 16 |
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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: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 1.3182 | 0.9412 | 8 | 1.3144 | |
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| 1.2253 | 2.0 | 17 | 1.1693 | |
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| 1.1196 | 2.9412 | 25 | 1.0760 | |
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| 0.9289 | 4.0 | 34 | 0.9662 | |
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| 0.8623 | 4.9412 | 42 | 0.9212 | |
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| 0.8786 | 6.0 | 51 | 0.8973 | |
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| 0.861 | 6.9412 | 59 | 0.8845 | |
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| 0.8112 | 8.0 | 68 | 0.8751 | |
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| 0.7491 | 8.9412 | 76 | 0.8714 | |
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| 0.7439 | 10.0 | 85 | 0.8710 | |
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| 0.7136 | 10.9412 | 93 | 0.8754 | |
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| 0.6546 | 12.0 | 102 | 0.8866 | |
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| 0.6539 | 12.9412 | 110 | 0.9093 | |
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| 0.632 | 14.0 | 119 | 0.9347 | |
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| 0.543 | 14.9412 | 127 | 0.9885 | |
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| 0.4869 | 16.0 | 136 | 1.0262 | |
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| 0.4926 | 16.9412 | 144 | 1.0435 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
