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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_replace_iter10_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_replace_iter10_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: 2.6113 |
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- Num Input Tokens Seen: 4842072 |
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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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| 1.4765 | 0.0511 | 5 | 1.2806 | 246008 | |
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| 0.8873 | 0.1022 | 10 | 1.3078 | 501048 | |
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| 0.5453 | 0.1533 | 15 | 1.4836 | 748784 | |
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| 0.3639 | 0.2043 | 20 | 1.6678 | 995320 | |
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| 0.1682 | 0.2554 | 25 | 1.8911 | 1241960 | |
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| 0.141 | 0.3065 | 30 | 2.1355 | 1482280 | |
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| 0.1008 | 0.3576 | 35 | 2.2627 | 1727544 | |
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| 0.0333 | 0.4087 | 40 | 2.3954 | 1977544 | |
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| 0.027 | 0.4598 | 45 | 2.4283 | 2229912 | |
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| 0.0236 | 0.5109 | 50 | 2.5144 | 2487368 | |
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| 0.0233 | 0.5619 | 55 | 2.5364 | 2733936 | |
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| 0.0236 | 0.6130 | 60 | 2.5347 | 2984368 | |
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| 0.021 | 0.6641 | 65 | 2.5419 | 3234792 | |
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| 0.026 | 0.7152 | 70 | 2.5644 | 3479584 | |
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| 0.0223 | 0.7663 | 75 | 2.5735 | 3724952 | |
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| 0.0364 | 0.8174 | 80 | 2.5809 | 3980264 | |
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| 0.0232 | 0.8685 | 85 | 2.5900 | 4228400 | |
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| 0.0296 | 0.9195 | 90 | 2.5925 | 4484104 | |
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| 0.023 | 0.9706 | 95 | 2.6062 | 4735712 | |
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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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