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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_iter3_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_iter3_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: 1.8388 |
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- Num Input Tokens Seen: 8195288 |
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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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| 1.5833 | 0.0321 | 5 | 1.3056 | 264760 | |
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| 1.4802 | 0.0642 | 10 | 1.2129 | 531232 | |
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| 1.0682 | 0.0963 | 15 | 1.2152 | 792048 | |
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| 0.877 | 0.1285 | 20 | 1.3193 | 1057288 | |
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| 0.5869 | 0.1606 | 25 | 1.4425 | 1314432 | |
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| 0.5375 | 0.1927 | 30 | 1.5556 | 1577064 | |
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| 0.3261 | 0.2248 | 35 | 1.6875 | 1842448 | |
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| 0.2372 | 0.2569 | 40 | 1.8303 | 2102536 | |
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| 0.1862 | 0.2890 | 45 | 1.9071 | 2365920 | |
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| 0.1235 | 0.3212 | 50 | 1.9770 | 2636264 | |
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| 0.1133 | 0.3533 | 55 | 2.0005 | 2893776 | |
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| 0.0811 | 0.3854 | 60 | 1.9080 | 3156592 | |
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| 0.0467 | 0.4175 | 65 | 1.9028 | 3412792 | |
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| 0.053 | 0.4496 | 70 | 1.9141 | 3681376 | |
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| 0.1024 | 0.4817 | 75 | 1.8865 | 3943248 | |
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| 0.0689 | 0.5138 | 80 | 1.8100 | 4209328 | |
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| 0.0592 | 0.5460 | 85 | 1.7858 | 4475792 | |
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| 0.0753 | 0.5781 | 90 | 1.7337 | 4742648 | |
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| 0.0373 | 0.6102 | 95 | 1.7169 | 5010136 | |
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| 0.0492 | 0.6423 | 100 | 1.7129 | 5275128 | |
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| 0.041 | 0.6744 | 105 | 1.7290 | 5545064 | |
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| 0.0362 | 0.7065 | 110 | 1.7868 | 5804720 | |
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| 0.0454 | 0.7387 | 115 | 1.8283 | 6071728 | |
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| 0.0387 | 0.7708 | 120 | 1.8346 | 6344272 | |
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| 0.058 | 0.8029 | 125 | 1.7726 | 6612848 | |
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| 0.0502 | 0.8350 | 130 | 1.7259 | 6885872 | |
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| 0.0512 | 0.8671 | 135 | 1.7473 | 7146016 | |
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| 0.0594 | 0.8992 | 140 | 1.8113 | 7410008 | |
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| 0.042 | 0.9314 | 145 | 1.8112 | 7672408 | |
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| 0.0445 | 0.9635 | 150 | 1.7757 | 7936232 | |
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| 0.0329 | 0.9956 | 155 | 1.8388 | 8195288 | |
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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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