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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_replace_iter3_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_replace_iter3_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: 1.8317 |
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- Num Input Tokens Seen: 8456608 |
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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 | 1.3956 | 0 | |
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| 1.5416 | 0.0324 | 5 | 1.3068 | 269936 | |
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| 1.3641 | 0.0649 | 10 | 1.2115 | 552616 | |
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| 1.0289 | 0.0973 | 15 | 1.2221 | 823720 | |
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| 0.8688 | 0.1297 | 20 | 1.2844 | 1095864 | |
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| 0.7272 | 0.1621 | 25 | 1.4180 | 1364688 | |
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| 0.519 | 0.1946 | 30 | 1.5302 | 1638176 | |
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| 0.3073 | 0.2270 | 35 | 1.6787 | 1919208 | |
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| 0.2729 | 0.2594 | 40 | 1.7833 | 2198928 | |
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| 0.1705 | 0.2919 | 45 | 1.9387 | 2476232 | |
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| 0.0886 | 0.3243 | 50 | 1.9982 | 2749520 | |
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| 0.1069 | 0.3567 | 55 | 2.0681 | 3023760 | |
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| 0.0686 | 0.3891 | 60 | 2.0576 | 3297968 | |
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| 0.0828 | 0.4216 | 65 | 1.9080 | 3573328 | |
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| 0.0499 | 0.4540 | 70 | 1.9215 | 3843576 | |
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| 0.0494 | 0.4864 | 75 | 1.9651 | 4114016 | |
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| 0.0778 | 0.5188 | 80 | 1.9004 | 4382648 | |
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| 0.0607 | 0.5513 | 85 | 1.8523 | 4659656 | |
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| 0.0551 | 0.5837 | 90 | 1.7979 | 4931424 | |
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| 0.0352 | 0.6161 | 95 | 1.7820 | 5204968 | |
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| 0.0639 | 0.6486 | 100 | 1.8419 | 5483448 | |
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| 0.0605 | 0.6810 | 105 | 1.8618 | 5761696 | |
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| 0.0386 | 0.7134 | 110 | 1.7887 | 6038976 | |
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| 0.0399 | 0.7458 | 115 | 1.8088 | 6311440 | |
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| 0.0333 | 0.7783 | 120 | 1.9178 | 6585992 | |
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| 0.0458 | 0.8107 | 125 | 1.9033 | 6863656 | |
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| 0.0419 | 0.8431 | 130 | 1.8162 | 7138912 | |
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| 0.0386 | 0.8756 | 135 | 1.7969 | 7407560 | |
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| 0.0464 | 0.9080 | 140 | 1.8278 | 7687208 | |
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| 0.0376 | 0.9404 | 145 | 1.8610 | 7964184 | |
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| 0.0418 | 0.9728 | 150 | 1.8592 | 8240528 | |
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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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