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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_massive_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-2-2b_hs2_massive_iter1_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: 1.0640 |
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- Num Input Tokens Seen: 5690264 |
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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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| 1.2529 | 0.0511 | 5 | 1.2585 | 295904 | |
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| 1.1843 | 0.1021 | 10 | 1.1683 | 591104 | |
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| 1.1523 | 0.1532 | 15 | 1.1318 | 883280 | |
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| 1.0979 | 0.2042 | 20 | 1.1062 | 1177976 | |
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| 1.0923 | 0.2553 | 25 | 1.0967 | 1470072 | |
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| 1.07 | 0.3063 | 30 | 1.0915 | 1759320 | |
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| 1.1217 | 0.3574 | 35 | 1.0877 | 2048280 | |
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| 1.0978 | 0.4084 | 40 | 1.0839 | 2339776 | |
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| 1.0604 | 0.4595 | 45 | 1.0807 | 2632712 | |
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| 1.0608 | 0.5105 | 50 | 1.0779 | 2926200 | |
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| 1.1238 | 0.5616 | 55 | 1.0758 | 3220536 | |
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| 1.0663 | 0.6126 | 60 | 1.0741 | 3515696 | |
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| 1.0059 | 0.6637 | 65 | 1.0724 | 3804824 | |
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| 1.0991 | 0.7147 | 70 | 1.0706 | 4101032 | |
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| 1.1119 | 0.7658 | 75 | 1.0691 | 4391096 | |
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| 1.0905 | 0.8168 | 80 | 1.0680 | 4688752 | |
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| 1.0574 | 0.8679 | 85 | 1.0668 | 4981792 | |
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| 1.1394 | 0.9190 | 90 | 1.0653 | 5276840 | |
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| 1.1296 | 0.9700 | 95 | 1.0644 | 5572144 | |
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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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