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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_iter2_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_iter2_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: 1.5203 |
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- Num Input Tokens Seen: 7902160 |
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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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| 1.7473 | 0.0363 | 5 | 1.2943 | 288056 | |
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| 1.4345 | 0.0726 | 10 | 1.1947 | 573696 | |
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| 1.2912 | 0.1089 | 15 | 1.1754 | 864312 | |
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| 1.1113 | 0.1452 | 20 | 1.1708 | 1155592 | |
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| 0.9992 | 0.1815 | 25 | 1.2262 | 1442896 | |
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| 0.8723 | 0.2178 | 30 | 1.2980 | 1738192 | |
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| 0.6856 | 0.2541 | 35 | 1.3840 | 2026640 | |
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| 0.5851 | 0.2904 | 40 | 1.4503 | 2311728 | |
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| 0.544 | 0.3267 | 45 | 1.4799 | 2603472 | |
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| 0.3782 | 0.3630 | 50 | 1.5256 | 2895216 | |
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| 0.3556 | 0.3993 | 55 | 1.5141 | 3177072 | |
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| 0.2995 | 0.4356 | 60 | 1.4836 | 3464608 | |
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| 0.1964 | 0.4719 | 65 | 1.5114 | 3749472 | |
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| 0.1595 | 0.5082 | 70 | 1.4883 | 4033064 | |
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| 0.2194 | 0.5445 | 75 | 1.4652 | 4326968 | |
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| 0.1651 | 0.5808 | 80 | 1.4571 | 4611416 | |
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| 0.1319 | 0.6171 | 85 | 1.5090 | 4903168 | |
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| 0.2408 | 0.6534 | 90 | 1.4362 | 5191528 | |
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| 0.1663 | 0.6897 | 95 | 1.5008 | 5474696 | |
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| 0.1661 | 0.7260 | 100 | 1.4591 | 5757304 | |
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| 0.181 | 0.7623 | 105 | 1.4716 | 6047208 | |
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| 0.1905 | 0.7985 | 110 | 1.4632 | 6343824 | |
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| 0.2526 | 0.8348 | 115 | 1.4277 | 6627376 | |
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| 0.0952 | 0.8711 | 120 | 1.5090 | 6915440 | |
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| 0.1044 | 0.9074 | 125 | 1.4923 | 7206272 | |
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| 0.1387 | 0.9437 | 130 | 1.4292 | 7504304 | |
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| 0.1038 | 0.9800 | 135 | 1.5096 | 7784504 | |
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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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