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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_iter5_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-2-27b_hs2_replace_iter5_sftsd2 |
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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: 1.3885 |
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- Num Input Tokens Seen: 2751792 |
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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: 2 |
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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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| 4.321 | 0.1060 | 5 | 1.1089 | 288828 | |
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| 4.0789 | 0.2119 | 10 | 1.2018 | 581504 | |
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| 3.8543 | 0.3179 | 15 | 1.2446 | 873364 | |
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| 3.6951 | 0.4238 | 20 | 1.3045 | 1165140 | |
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| 3.4936 | 0.5298 | 25 | 1.3632 | 1461128 | |
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| 3.4498 | 0.6358 | 30 | 1.3670 | 1750764 | |
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| 3.3639 | 0.7417 | 35 | 1.3663 | 2044840 | |
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| 3.2972 | 0.8477 | 40 | 1.3672 | 2339024 | |
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| 3.2375 | 0.9536 | 45 | 1.3869 | 2633860 | |
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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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