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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_iter16_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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# collapse_gemma-2-2b_hs2_accumulatesubsample_iter16_sftsd1 |
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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: 1.2063 |
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- Num Input Tokens Seen: 4908568 |
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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 | 1.3909 | 0 | |
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| 1.384 | 0.0528 | 5 | 1.2748 | 263536 | |
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| 1.0504 | 0.1055 | 10 | 1.2136 | 521104 | |
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| 0.9216 | 0.1583 | 15 | 1.2253 | 786688 | |
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| 0.705 | 0.2111 | 20 | 1.2516 | 1052112 | |
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| 0.6686 | 0.2639 | 25 | 1.2797 | 1310000 | |
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| 0.622 | 0.3166 | 30 | 1.2586 | 1569720 | |
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| 0.5686 | 0.3694 | 35 | 1.2699 | 1830672 | |
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| 0.4761 | 0.4222 | 40 | 1.2417 | 2099344 | |
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| 0.4431 | 0.4749 | 45 | 1.2457 | 2362288 | |
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| 0.4104 | 0.5277 | 50 | 1.2311 | 2622728 | |
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| 0.4555 | 0.5805 | 55 | 1.2327 | 2882280 | |
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| 0.3677 | 0.6332 | 60 | 1.2202 | 3140984 | |
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| 0.32 | 0.6860 | 65 | 1.2245 | 3401624 | |
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| 0.3617 | 0.7388 | 70 | 1.2184 | 3659992 | |
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| 0.2982 | 0.7916 | 75 | 1.2144 | 3920072 | |
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| 0.32 | 0.8443 | 80 | 1.2069 | 4179680 | |
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| 0.4088 | 0.8971 | 85 | 1.2115 | 4434784 | |
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| 0.4142 | 0.9499 | 90 | 1.2070 | 4701080 | |
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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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