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Gemma-2-2B_task-3_60-samples_config-2_auto

PEFT
TensorBoard
Safetensors
gemma2
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
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  1. README.md +84 -0
  2. adapter_model.safetensors +1 -1
  3. all_results.json +9 -0
  4. train_results.json +9 -0
  5. trainer_state.json +414 -0
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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-3_60-samples_config-2_auto
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+ results: []
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+ ---
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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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+
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+ # Gemma-2-2B_task-3_60-samples_config-2_auto
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+
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6300
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-------:|:----:|:---------------:|
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+ | 3.072 | 0.6957 | 2 | 3.0875 |
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+ | 3.0765 | 1.7391 | 5 | 2.5635 |
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+ | 2.0933 | 2.7826 | 8 | 1.4153 |
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+ | 1.2307 | 3.8261 | 11 | 0.7854 |
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+ | 0.5656 | 4.8696 | 14 | 0.5590 |
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+ | 0.5325 | 5.9130 | 17 | 0.4852 |
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+ | 0.4027 | 6.9565 | 20 | 0.4474 |
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+ | 0.2861 | 8.0 | 23 | 0.4358 |
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+ | 0.3766 | 8.6957 | 25 | 0.4268 |
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+ | 0.291 | 9.7391 | 28 | 0.4162 |
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+ | 0.2706 | 10.7826 | 31 | 0.4064 |
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+ | 0.2037 | 11.8261 | 34 | 0.4027 |
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+ | 0.2057 | 12.8696 | 37 | 0.4006 |
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+ | 0.1402 | 13.9130 | 40 | 0.4081 |
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+ | 0.1817 | 14.9565 | 43 | 0.4246 |
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+ | 0.119 | 16.0 | 46 | 0.4514 |
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+ | 0.1067 | 16.6957 | 48 | 0.4775 |
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+ | 0.0954 | 17.7391 | 51 | 0.5345 |
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+ | 0.0553 | 18.7826 | 54 | 0.5770 |
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+ | 0.0604 | 19.8261 | 57 | 0.6300 |
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+
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+
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+ ### Framework versions
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+
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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
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