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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_iter1_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_iter1_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: 1.0645 |
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- Num Input Tokens Seen: 5698680 |
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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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| 1.3437 | 0.0511 | 5 | 1.2632 | 296352 | |
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| 1.1851 | 0.1021 | 10 | 1.1721 | 589152 | |
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| 1.1271 | 0.1532 | 15 | 1.1344 | 884504 | |
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| 1.0728 | 0.2042 | 20 | 1.1085 | 1182424 | |
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| 1.0945 | 0.2553 | 25 | 1.0987 | 1474984 | |
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| 1.0927 | 0.3063 | 30 | 1.0931 | 1772592 | |
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| 1.1145 | 0.3574 | 35 | 1.0890 | 2061504 | |
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| 1.0845 | 0.4084 | 40 | 1.0854 | 2358064 | |
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| 1.1001 | 0.4595 | 45 | 1.0824 | 2650896 | |
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| 1.0775 | 0.5105 | 50 | 1.0801 | 2942864 | |
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| 1.1246 | 0.5616 | 55 | 1.0775 | 3234512 | |
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| 1.101 | 0.6126 | 60 | 1.0753 | 3525376 | |
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| 1.0904 | 0.6637 | 65 | 1.0739 | 3820376 | |
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| 1.1705 | 0.7147 | 70 | 1.0718 | 4108240 | |
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| 1.0282 | 0.7658 | 75 | 1.0702 | 4402208 | |
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| 1.1463 | 0.8168 | 80 | 1.0689 | 4698016 | |
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| 1.0783 | 0.8679 | 85 | 1.0675 | 4991408 | |
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| 1.0052 | 0.9190 | 90 | 1.0657 | 5285784 | |
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| 1.0614 | 0.9700 | 95 | 1.0648 | 5580576 | |
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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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