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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_accumulatesubsample_iter19_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-2-2b_hs2_accumulatesubsample_iter19_sftsd1 |
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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: 1.2055 |
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- Num Input Tokens Seen: 4907024 |
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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: 1 |
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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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| 1.3427 | 0.0527 | 5 | 1.2782 | 258072 | |
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| 1.0971 | 0.1053 | 10 | 1.2131 | 521696 | |
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| 0.9209 | 0.1580 | 15 | 1.2167 | 782872 | |
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| 0.7304 | 0.2107 | 20 | 1.2697 | 1039040 | |
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| 0.6214 | 0.2633 | 25 | 1.2589 | 1307632 | |
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| 0.5449 | 0.3160 | 30 | 1.3018 | 1568000 | |
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| 0.521 | 0.3687 | 35 | 1.2918 | 1824608 | |
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| 0.4267 | 0.4213 | 40 | 1.2783 | 2087280 | |
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| 0.4484 | 0.4740 | 45 | 1.2457 | 2348744 | |
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| 0.403 | 0.5267 | 50 | 1.2346 | 2610176 | |
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| 0.3899 | 0.5793 | 55 | 1.2224 | 2873528 | |
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| 0.3705 | 0.6320 | 60 | 1.2227 | 3133328 | |
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| 0.3662 | 0.6847 | 65 | 1.2187 | 3395112 | |
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| 0.3322 | 0.7373 | 70 | 1.2076 | 3656104 | |
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| 0.3614 | 0.7900 | 75 | 1.2070 | 3917544 | |
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| 0.3462 | 0.8427 | 80 | 1.2021 | 4174120 | |
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| 0.3258 | 0.8953 | 85 | 1.2061 | 4437136 | |
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| 0.3069 | 0.9480 | 90 | 1.2061 | 4699512 | |
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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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