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--- |
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license: gemma |
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base_model: google/gemma-2-9b |
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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-2-9b_hs2_replace_iter1_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-2-9b_hs2_replace_iter1_sftsd2 |
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This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9313 |
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- Num Input Tokens Seen: 5236236 |
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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: 4 |
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- eval_batch_size: 16 |
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- seed: 2 |
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- gradient_accumulation_steps: 32 |
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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 | 1.2335 | 0 | |
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| 1.0584 | 0.0511 | 5 | 1.0644 | 270332 | |
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| 1.0014 | 0.1021 | 10 | 0.9817 | 541500 | |
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| 0.9947 | 0.1532 | 15 | 0.9708 | 812584 | |
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| 0.9594 | 0.2043 | 20 | 0.9624 | 1083956 | |
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| 0.9482 | 0.2553 | 25 | 0.9565 | 1356232 | |
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| 0.9359 | 0.3064 | 30 | 0.9534 | 1618536 | |
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| 0.9857 | 0.3575 | 35 | 0.9502 | 1882576 | |
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| 0.9566 | 0.4086 | 40 | 0.9469 | 2154872 | |
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| 0.9121 | 0.4596 | 45 | 0.9447 | 2423272 | |
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| 0.917 | 0.5107 | 50 | 0.9428 | 2695312 | |
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| 0.9864 | 0.5618 | 55 | 0.9412 | 2965956 | |
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| 0.9304 | 0.6128 | 60 | 0.9401 | 3236124 | |
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| 0.8757 | 0.6639 | 65 | 0.9384 | 3504696 | |
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| 0.9522 | 0.7150 | 70 | 0.9370 | 3779560 | |
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| 0.9782 | 0.7660 | 75 | 0.9360 | 4047404 | |
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| 0.9433 | 0.8171 | 80 | 0.9352 | 4319468 | |
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| 0.9083 | 0.8682 | 85 | 0.9336 | 4590728 | |
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| 0.9983 | 0.9192 | 90 | 0.9326 | 4860344 | |
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| 0.9986 | 0.9703 | 95 | 0.9319 | 5128848 | |
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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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