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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_iter10_sftsd0 |
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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_iter10_sftsd0 |
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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: 2.6489 |
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- Num Input Tokens Seen: 7847456 |
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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: 0 |
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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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| 1.6165 | 0.0315 | 5 | 1.3101 | 243056 | |
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| 1.172 | 0.0630 | 10 | 1.2582 | 490584 | |
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| 0.7463 | 0.0945 | 15 | 1.3463 | 739912 | |
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| 0.464 | 0.1259 | 20 | 1.5692 | 990256 | |
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| 0.3508 | 0.1574 | 25 | 1.6804 | 1240472 | |
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| 0.1841 | 0.1889 | 30 | 1.8268 | 1486504 | |
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| 0.097 | 0.2204 | 35 | 2.0664 | 1738888 | |
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| 0.0635 | 0.2519 | 40 | 2.2289 | 1980448 | |
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| 0.0452 | 0.2834 | 45 | 2.3601 | 2228472 | |
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| 0.0422 | 0.3148 | 50 | 2.4612 | 2476704 | |
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| 0.0364 | 0.3463 | 55 | 2.5085 | 2731320 | |
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| 0.0341 | 0.3778 | 60 | 2.5222 | 2979128 | |
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| 0.0304 | 0.4093 | 65 | 2.5257 | 3220656 | |
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| 0.0281 | 0.4408 | 70 | 2.5652 | 3471576 | |
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| 0.0247 | 0.4723 | 75 | 2.5819 | 3708808 | |
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| 0.025 | 0.5037 | 80 | 2.5916 | 3965208 | |
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| 0.0244 | 0.5352 | 85 | 2.6135 | 4212016 | |
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| 0.026 | 0.5667 | 90 | 2.6298 | 4456472 | |
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| 0.0236 | 0.5982 | 95 | 2.6157 | 4708392 | |
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| 0.0232 | 0.6297 | 100 | 2.6080 | 4960984 | |
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| 0.0234 | 0.6612 | 105 | 2.6128 | 5209920 | |
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| 0.0294 | 0.6926 | 110 | 2.6223 | 5450632 | |
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| 0.0257 | 0.7241 | 115 | 2.6158 | 5696272 | |
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| 0.0264 | 0.7556 | 120 | 2.6134 | 5945648 | |
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| 0.0245 | 0.7871 | 125 | 2.6294 | 6201960 | |
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| 0.0235 | 0.8186 | 130 | 2.6448 | 6449680 | |
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| 0.0225 | 0.8501 | 135 | 2.6495 | 6695680 | |
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| 0.0251 | 0.8815 | 140 | 2.6462 | 6946656 | |
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| 0.0252 | 0.9130 | 145 | 2.6537 | 7189752 | |
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| 0.0223 | 0.9445 | 150 | 2.6462 | 7443512 | |
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| 0.0217 | 0.9760 | 155 | 2.6488 | 7693456 | |
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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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