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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_iter10_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-2-2b_hs2_accumulatesubsample_iter10_sftsd2 |
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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: 1.1964 |
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- Num Input Tokens Seen: 4977584 |
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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: 2 |
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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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| 1.2728 | 0.0533 | 5 | 1.2766 | 266944 | |
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| 1.0944 | 0.1067 | 10 | 1.2041 | 528504 | |
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| 1.061 | 0.16 | 15 | 1.1908 | 790952 | |
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| 0.9567 | 0.2133 | 20 | 1.2032 | 1063680 | |
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| 0.7259 | 0.2667 | 25 | 1.2107 | 1330032 | |
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| 0.7803 | 0.32 | 30 | 1.2163 | 1602016 | |
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| 0.7025 | 0.3733 | 35 | 1.2305 | 1868424 | |
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| 0.7138 | 0.4267 | 40 | 1.2162 | 2141336 | |
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| 0.6717 | 0.48 | 45 | 1.2232 | 2412000 | |
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| 0.5593 | 0.5333 | 50 | 1.2079 | 2679920 | |
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| 0.5536 | 0.5867 | 55 | 1.2070 | 2946904 | |
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| 0.562 | 0.64 | 60 | 1.2054 | 3215776 | |
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| 0.4965 | 0.6933 | 65 | 1.2006 | 3479152 | |
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| 0.5015 | 0.7467 | 70 | 1.2018 | 3746592 | |
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| 0.4981 | 0.8 | 75 | 1.1892 | 4015920 | |
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| 0.5343 | 0.8533 | 80 | 1.1997 | 4286352 | |
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| 0.4309 | 0.9067 | 85 | 1.2070 | 4550912 | |
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| 0.5186 | 0.96 | 90 | 1.1959 | 4816776 | |
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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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