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--- |
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license: gemma |
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base_model: jkazdan/step_val_25_gemma-2-2b_hs2_iter1_sftsd2 |
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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: augmented_step_val_25_gemma-2-2b_hs2_iter1_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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# augmented_step_val_25_gemma-2-2b_hs2_iter1_sftsd1 |
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This model is a fine-tuned version of [jkazdan/step_val_25_gemma-2-2b_hs2_iter1_sftsd2](https://huggingface.co/jkazdan/step_val_25_gemma-2-2b_hs2_iter1_sftsd2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4633 |
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- Num Input Tokens Seen: 8037456 |
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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 | 1.0950 | 0 | |
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| 1.3679 | 0.0346 | 5 | 1.0949 | 278656 | |
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| 1.2514 | 0.0692 | 10 | 1.1089 | 558136 | |
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| 1.245 | 0.1038 | 15 | 1.1349 | 828560 | |
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| 1.0777 | 0.1383 | 20 | 1.1824 | 1108192 | |
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| 0.9197 | 0.1729 | 25 | 1.2347 | 1388824 | |
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| 0.7782 | 0.2075 | 30 | 1.3223 | 1665952 | |
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| 0.6517 | 0.2421 | 35 | 1.3822 | 1950056 | |
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| 0.538 | 0.2767 | 40 | 1.4250 | 2228112 | |
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| 0.484 | 0.3113 | 45 | 1.5033 | 2510296 | |
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| 0.4439 | 0.3459 | 50 | 1.4842 | 2795248 | |
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| 0.3461 | 0.3805 | 55 | 1.4639 | 3079696 | |
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| 0.233 | 0.4150 | 60 | 1.5173 | 3363824 | |
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| 0.285 | 0.4496 | 65 | 1.4692 | 3641232 | |
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| 0.3629 | 0.4842 | 70 | 1.4453 | 3912784 | |
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| 0.299 | 0.5188 | 75 | 1.4535 | 4191336 | |
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| 0.1821 | 0.5534 | 80 | 1.4589 | 4471320 | |
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| 0.1861 | 0.5880 | 85 | 1.4087 | 4751488 | |
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| 0.1433 | 0.6226 | 90 | 1.4598 | 5027576 | |
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| 0.168 | 0.6572 | 95 | 1.4293 | 5303728 | |
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| 0.1826 | 0.6917 | 100 | 1.4074 | 5582944 | |
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| 0.1109 | 0.7263 | 105 | 1.4264 | 5859696 | |
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| 0.1645 | 0.7609 | 110 | 1.4006 | 6130248 | |
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| 0.1012 | 0.7955 | 115 | 1.3990 | 6409520 | |
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| 0.0968 | 0.8301 | 120 | 1.4104 | 6691040 | |
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| 0.1176 | 0.8647 | 125 | 1.4425 | 6969344 | |
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| 0.1783 | 0.8993 | 130 | 1.4141 | 7248104 | |
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| 0.099 | 0.9339 | 135 | 1.4359 | 7526360 | |
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| 0.1133 | 0.9684 | 140 | 1.4366 | 7808664 | |
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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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