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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_iter14_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_iter14_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: 2.5786 |
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- Num Input Tokens Seen: 4691896 |
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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 | 1.3909 | 0 | |
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| 1.5832 | 0.0511 | 5 | 1.2796 | 241616 | |
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| 0.8587 | 0.1021 | 10 | 1.3016 | 479616 | |
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| 0.4185 | 0.1532 | 15 | 1.5403 | 721488 | |
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| 0.2308 | 0.2042 | 20 | 1.7468 | 964136 | |
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| 0.1045 | 0.2553 | 25 | 2.0213 | 1208880 | |
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| 0.0619 | 0.3063 | 30 | 2.2027 | 1454104 | |
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| 0.0318 | 0.3574 | 35 | 2.3840 | 1702688 | |
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| 0.0249 | 0.4084 | 40 | 2.4977 | 1942392 | |
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| 0.0229 | 0.4595 | 45 | 2.5368 | 2183280 | |
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| 0.0206 | 0.5105 | 50 | 2.5589 | 2426192 | |
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| 0.0223 | 0.5616 | 55 | 2.5742 | 2665256 | |
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| 0.0204 | 0.6126 | 60 | 2.5825 | 2909424 | |
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| 0.0209 | 0.6637 | 65 | 2.5771 | 3148624 | |
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| 0.0203 | 0.7147 | 70 | 2.5744 | 3384112 | |
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| 0.02 | 0.7658 | 75 | 2.5874 | 3631480 | |
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| 0.0222 | 0.8168 | 80 | 2.5799 | 3869320 | |
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| 0.0208 | 0.8679 | 85 | 2.5673 | 4113768 | |
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| 0.0216 | 0.9190 | 90 | 2.5709 | 4346680 | |
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| 0.0211 | 0.9700 | 95 | 2.5779 | 4595608 | |
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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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