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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_iter4_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_iter4_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: 2.1659 |
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- Num Input Tokens Seen: 7948024 |
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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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| 1.5632 | 0.0316 | 5 | 1.3061 | 246640 | |
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| 1.3817 | 0.0632 | 10 | 1.2228 | 494576 | |
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| 1.0035 | 0.0947 | 15 | 1.2471 | 744584 | |
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| 0.6544 | 0.1263 | 20 | 1.4073 | 997672 | |
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| 0.4776 | 0.1579 | 25 | 1.5377 | 1254560 | |
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| 0.3655 | 0.1895 | 30 | 1.6643 | 1501936 | |
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| 0.2114 | 0.2211 | 35 | 1.8147 | 1753752 | |
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| 0.1432 | 0.2527 | 40 | 2.0060 | 2004664 | |
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| 0.0971 | 0.2842 | 45 | 2.1422 | 2255696 | |
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| 0.0583 | 0.3158 | 50 | 2.1872 | 2503680 | |
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| 0.0617 | 0.3474 | 55 | 2.2333 | 2752312 | |
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| 0.0418 | 0.3790 | 60 | 2.2179 | 3014008 | |
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| 0.0354 | 0.4106 | 65 | 2.2580 | 3272640 | |
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| 0.0341 | 0.4422 | 70 | 2.3017 | 3531768 | |
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| 0.0365 | 0.4737 | 75 | 2.3306 | 3783288 | |
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| 0.0388 | 0.5053 | 80 | 2.3409 | 4030184 | |
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| 0.0293 | 0.5369 | 85 | 2.3008 | 4283032 | |
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| 0.0542 | 0.5685 | 90 | 2.2747 | 4542640 | |
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| 0.0333 | 0.6001 | 95 | 2.2006 | 4797104 | |
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| 0.0314 | 0.6317 | 100 | 2.1578 | 5049888 | |
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| 0.0504 | 0.6632 | 105 | 2.1483 | 5293872 | |
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| 0.0344 | 0.6948 | 110 | 2.1589 | 5538240 | |
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| 0.0277 | 0.7264 | 115 | 2.1630 | 5793368 | |
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| 0.0281 | 0.7580 | 120 | 2.1890 | 6044800 | |
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| 0.0289 | 0.7896 | 125 | 2.2083 | 6302168 | |
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| 0.0336 | 0.8212 | 130 | 2.2451 | 6546744 | |
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| 0.0442 | 0.8527 | 135 | 2.2112 | 6795368 | |
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| 0.0292 | 0.8843 | 140 | 2.1838 | 7042064 | |
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| 0.036 | 0.9159 | 145 | 2.2140 | 7291040 | |
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| 0.0295 | 0.9475 | 150 | 2.2179 | 7545048 | |
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| 0.0291 | 0.9791 | 155 | 2.1915 | 7794264 | |
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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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