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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_iter8_sftsd2 |
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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_iter8_sftsd2 |
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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: 2.5431 |
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- Num Input Tokens Seen: 7729792 |
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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: 2 |
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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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| 1.6775 | 0.0317 | 5 | 1.3078 | 249640 | |
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| 1.1595 | 0.0633 | 10 | 1.2385 | 493152 | |
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| 0.7855 | 0.0950 | 15 | 1.3530 | 742568 | |
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| 0.4733 | 0.1267 | 20 | 1.5512 | 993096 | |
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| 0.3632 | 0.1584 | 25 | 1.6760 | 1241784 | |
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| 0.2405 | 0.1900 | 30 | 1.8061 | 1488408 | |
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| 0.1741 | 0.2217 | 35 | 2.0582 | 1736448 | |
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| 0.1075 | 0.2534 | 40 | 2.1692 | 1986304 | |
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| 0.054 | 0.2850 | 45 | 2.3143 | 2236192 | |
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| 0.0417 | 0.3167 | 50 | 2.4076 | 2485904 | |
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| 0.0317 | 0.3484 | 55 | 2.4662 | 2728784 | |
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| 0.0307 | 0.3800 | 60 | 2.4682 | 2981024 | |
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| 0.0281 | 0.4117 | 65 | 2.4533 | 3224056 | |
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| 0.0296 | 0.4434 | 70 | 2.4544 | 3466368 | |
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| 0.0281 | 0.4751 | 75 | 2.4627 | 3716376 | |
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| 0.029 | 0.5067 | 80 | 2.4801 | 3956352 | |
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| 0.0276 | 0.5384 | 85 | 2.5255 | 4200848 | |
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| 0.0266 | 0.5701 | 90 | 2.5232 | 4438112 | |
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| 0.0266 | 0.6017 | 95 | 2.5296 | 4681008 | |
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| 0.0271 | 0.6334 | 100 | 2.5345 | 4929272 | |
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| 0.026 | 0.6651 | 105 | 2.5361 | 5177360 | |
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| 0.0269 | 0.6968 | 110 | 2.5346 | 5422624 | |
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| 0.031 | 0.7284 | 115 | 2.5489 | 5664432 | |
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| 0.0277 | 0.7601 | 120 | 2.5383 | 5911992 | |
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| 0.0269 | 0.7918 | 125 | 2.5107 | 6157840 | |
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| 0.0245 | 0.8234 | 130 | 2.5145 | 6401608 | |
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| 0.0284 | 0.8551 | 135 | 2.5238 | 6639192 | |
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| 0.0269 | 0.8868 | 140 | 2.5150 | 6886080 | |
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| 0.0276 | 0.9184 | 145 | 2.5151 | 7135760 | |
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| 0.026 | 0.9501 | 150 | 2.5276 | 7383616 | |
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| 0.0259 | 0.9818 | 155 | 2.5393 | 7629864 | |
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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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