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--- |
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license: gemma |
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base_model: google/gemma-2-2b |
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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: collapse_gemma-2-2b_hs2_accumulatesubsample_iter9_sftsd0 |
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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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# collapse_gemma-2-2b_hs2_accumulatesubsample_iter9_sftsd0 |
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This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1956 |
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- Num Input Tokens Seen: 5023456 |
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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: 8e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 16 |
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- seed: 0 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:------:|:----:|:---------------:|:-----------------:| |
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| No log | 0 | 0 | 1.3909 | 0 | |
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| 1.3304 | 0.0541 | 5 | 1.2738 | 270256 | |
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| 1.1448 | 0.1082 | 10 | 1.2117 | 540696 | |
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| 1.0747 | 0.1623 | 15 | 1.2004 | 821656 | |
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| 1.0687 | 0.2164 | 20 | 1.2026 | 1098712 | |
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| 0.7675 | 0.2705 | 25 | 1.2266 | 1366240 | |
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| 0.7907 | 0.3245 | 30 | 1.2142 | 1643704 | |
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| 0.6795 | 0.3786 | 35 | 1.2293 | 1908672 | |
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| 0.6652 | 0.4327 | 40 | 1.2036 | 2181616 | |
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| 0.7058 | 0.4868 | 45 | 1.2256 | 2456960 | |
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| 0.6919 | 0.5409 | 50 | 1.2012 | 2735528 | |
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| 0.6422 | 0.5950 | 55 | 1.2120 | 3015304 | |
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| 0.6387 | 0.6491 | 60 | 1.2085 | 3286712 | |
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| 0.4768 | 0.7032 | 65 | 1.2063 | 3557760 | |
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| 0.5572 | 0.7573 | 70 | 1.1910 | 3824824 | |
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| 0.5535 | 0.8114 | 75 | 1.2021 | 4097760 | |
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| 0.4666 | 0.8654 | 80 | 1.1937 | 4378176 | |
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| 0.4766 | 0.9195 | 85 | 1.1977 | 4649040 | |
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| 0.5041 | 0.9736 | 90 | 1.1999 | 4914024 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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