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--- |
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base_model: google/gemma-2-2b-it |
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library_name: peft |
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license: gemma |
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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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model-index: |
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- name: Gemma-2-2B_task-1_120-samples_config-2 |
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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-1_120-samples_config-2 |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1679 |
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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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| 2.4033 | 0.9091 | 5 | 2.3638 | |
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| 2.1644 | 2.0 | 11 | 1.9085 | |
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| 1.5867 | 2.9091 | 16 | 1.6096 | |
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| 1.3937 | 4.0 | 22 | 1.4499 | |
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| 1.2999 | 4.9091 | 27 | 1.3671 | |
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| 1.1454 | 6.0 | 33 | 1.3296 | |
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| 0.9351 | 6.9091 | 38 | 1.3268 | |
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| 0.8108 | 8.0 | 44 | 1.3552 | |
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| 0.6191 | 8.9091 | 49 | 1.4658 | |
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| 0.4271 | 10.0 | 55 | 1.7157 | |
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| 0.3163 | 10.9091 | 60 | 2.0603 | |
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| 0.1817 | 12.0 | 66 | 2.5517 | |
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| 0.104 | 12.9091 | 71 | 2.9069 | |
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| 0.0403 | 14.0 | 77 | 3.1679 | |
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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 |
