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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_iter6_sftsd1 |
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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_iter6_sftsd1 |
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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: 2.5097 |
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- Num Input Tokens Seen: 8170160 |
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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: 1 |
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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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| 1.553 | 0.0316 | 5 | 1.3090 | 258336 | |
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| 1.1605 | 0.0632 | 10 | 1.2408 | 515760 | |
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| 0.8944 | 0.0948 | 15 | 1.2981 | 775720 | |
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| 0.5199 | 0.1264 | 20 | 1.5066 | 1026360 | |
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| 0.3638 | 0.1580 | 25 | 1.6259 | 1281232 | |
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| 0.217 | 0.1896 | 30 | 1.8240 | 1539752 | |
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| 0.1148 | 0.2212 | 35 | 1.9752 | 1796440 | |
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| 0.1057 | 0.2528 | 40 | 2.1133 | 2056024 | |
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| 0.0565 | 0.2844 | 45 | 2.2720 | 2315344 | |
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| 0.0582 | 0.3160 | 50 | 2.4049 | 2578576 | |
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| 0.0373 | 0.3476 | 55 | 2.5018 | 2831728 | |
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| 0.0341 | 0.3791 | 60 | 2.4419 | 3089328 | |
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| 0.0415 | 0.4107 | 65 | 2.4454 | 3350752 | |
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| 0.0285 | 0.4423 | 70 | 2.4645 | 3607904 | |
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| 0.0276 | 0.4739 | 75 | 2.5049 | 3874552 | |
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| 0.0304 | 0.5055 | 80 | 2.5111 | 4127008 | |
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| 0.027 | 0.5371 | 85 | 2.5041 | 4384976 | |
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| 0.029 | 0.5687 | 90 | 2.5237 | 4651128 | |
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| 0.0285 | 0.6003 | 95 | 2.5093 | 4909080 | |
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| 0.0287 | 0.6319 | 100 | 2.5117 | 5165688 | |
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| 0.0262 | 0.6635 | 105 | 2.5054 | 5415464 | |
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| 0.0259 | 0.6951 | 110 | 2.4879 | 5674272 | |
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| 0.0271 | 0.7267 | 115 | 2.4664 | 5934728 | |
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| 0.027 | 0.7583 | 120 | 2.4789 | 6187376 | |
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| 0.0288 | 0.7899 | 125 | 2.4795 | 6450096 | |
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| 0.0247 | 0.8215 | 130 | 2.4943 | 6712368 | |
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| 0.0248 | 0.8531 | 135 | 2.4960 | 6970504 | |
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| 0.0282 | 0.8847 | 140 | 2.5069 | 7232472 | |
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| 0.0266 | 0.9163 | 145 | 2.5055 | 7495824 | |
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| 0.0311 | 0.9479 | 150 | 2.5049 | 7758216 | |
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| 0.0237 | 0.9795 | 155 | 2.5113 | 8017088 | |
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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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