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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_iter14_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_accumulatesubsample_iter14_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: 1.2169 |
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- Num Input Tokens Seen: 4987864 |
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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 | 1.3909 | 0 | |
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| 1.3601 | 0.0537 | 5 | 1.2756 | 273168 | |
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| 1.0514 | 0.1075 | 10 | 1.2201 | 542832 | |
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| 0.8862 | 0.1612 | 15 | 1.2153 | 806384 | |
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| 0.7575 | 0.2149 | 20 | 1.2508 | 1072264 | |
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| 0.8064 | 0.2686 | 25 | 1.2672 | 1345384 | |
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| 0.7043 | 0.3224 | 30 | 1.2443 | 1610128 | |
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| 0.7069 | 0.3761 | 35 | 1.2386 | 1880920 | |
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| 0.5027 | 0.4298 | 40 | 1.2439 | 2148696 | |
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| 0.5934 | 0.4835 | 45 | 1.2404 | 2411376 | |
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| 0.5024 | 0.5373 | 50 | 1.2125 | 2683616 | |
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| 0.4872 | 0.5910 | 55 | 1.2366 | 2946376 | |
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| 0.4414 | 0.6447 | 60 | 1.2230 | 3215768 | |
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| 0.5175 | 0.6985 | 65 | 1.2200 | 3485104 | |
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| 0.4704 | 0.7522 | 70 | 1.2172 | 3752080 | |
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| 0.5442 | 0.8059 | 75 | 1.2149 | 4021976 | |
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| 0.4186 | 0.8596 | 80 | 1.2177 | 4295184 | |
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| 0.458 | 0.9134 | 85 | 1.2097 | 4559664 | |
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| 0.4203 | 0.9671 | 90 | 1.2142 | 4823808 | |
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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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