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--- |
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license: gemma |
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base_model: google/gemma-2-27b |
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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-2-27b_hs2_replace_iter1_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-2-27b_hs2_replace_iter1_sftsd1 |
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This model is a fine-tuned version of [google/gemma-2-27b](https://huggingface.co/google/gemma-2-27b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9050 |
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- Num Input Tokens Seen: 5254884 |
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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: 4 |
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- eval_batch_size: 16 |
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- seed: 1 |
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- gradient_accumulation_steps: 32 |
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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 | 1.1282 | 0 | |
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| 0.9865 | 0.0511 | 5 | 0.9815 | 260128 | |
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| 0.9827 | 0.1021 | 10 | 0.9503 | 527396 | |
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| 0.9415 | 0.1532 | 15 | 0.9387 | 803280 | |
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| 0.9777 | 0.2043 | 20 | 0.9341 | 1074404 | |
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| 0.896 | 0.2553 | 25 | 0.9291 | 1348060 | |
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| 0.9836 | 0.3064 | 30 | 0.9259 | 1614960 | |
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| 0.8868 | 0.3575 | 35 | 0.9217 | 1884844 | |
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| 0.9037 | 0.4086 | 40 | 0.9192 | 2154208 | |
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| 0.9543 | 0.4596 | 45 | 0.9170 | 2424544 | |
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| 0.8617 | 0.5107 | 50 | 0.9155 | 2690292 | |
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| 0.9376 | 0.5618 | 55 | 0.9136 | 2962944 | |
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| 0.9256 | 0.6128 | 60 | 0.9114 | 3234692 | |
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| 0.8981 | 0.6639 | 65 | 0.9102 | 3510980 | |
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| 0.904 | 0.7150 | 70 | 0.9086 | 3790388 | |
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| 0.8904 | 0.7660 | 75 | 0.9081 | 4069200 | |
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| 0.9635 | 0.8171 | 80 | 0.9078 | 4338748 | |
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| 0.9016 | 0.8682 | 85 | 0.9061 | 4606552 | |
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| 0.8514 | 0.9192 | 90 | 0.9062 | 4877900 | |
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| 0.8992 | 0.9703 | 95 | 0.9058 | 5147172 | |
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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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