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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_iter4_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_iter4_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: 2.1872 |
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- Num Input Tokens Seen: 8213360 |
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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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| 1.5456 | 0.0318 | 5 | 1.3070 | 265304 | |
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| 1.2703 | 0.0636 | 10 | 1.2218 | 523568 | |
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| 0.9657 | 0.0954 | 15 | 1.2481 | 782936 | |
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| 0.6809 | 0.1271 | 20 | 1.3512 | 1047016 | |
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| 0.5361 | 0.1589 | 25 | 1.4749 | 1317216 | |
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| 0.3923 | 0.1907 | 30 | 1.5943 | 1576968 | |
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| 0.2609 | 0.2225 | 35 | 1.7244 | 1835720 | |
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| 0.1476 | 0.2543 | 40 | 1.9387 | 2096288 | |
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| 0.0973 | 0.2861 | 45 | 2.0971 | 2356272 | |
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| 0.1096 | 0.3178 | 50 | 2.1618 | 2620648 | |
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| 0.0651 | 0.3496 | 55 | 2.1722 | 2877880 | |
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| 0.0528 | 0.3814 | 60 | 2.1908 | 3133480 | |
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| 0.0455 | 0.4132 | 65 | 2.2489 | 3397968 | |
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| 0.0474 | 0.4450 | 70 | 2.2538 | 3659672 | |
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| 0.0919 | 0.4768 | 75 | 2.2320 | 3919344 | |
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| 0.0311 | 0.5085 | 80 | 2.1670 | 4187912 | |
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| 0.0319 | 0.5403 | 85 | 2.2046 | 4447608 | |
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| 0.0278 | 0.5721 | 90 | 2.2165 | 4705488 | |
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| 0.0284 | 0.6039 | 95 | 2.2048 | 4979080 | |
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| 0.0549 | 0.6357 | 100 | 2.1651 | 5237472 | |
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| 0.0319 | 0.6675 | 105 | 2.1267 | 5496736 | |
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| 0.0304 | 0.6992 | 110 | 2.1044 | 5759232 | |
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| 0.0274 | 0.7310 | 115 | 2.0821 | 6021968 | |
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| 0.0307 | 0.7628 | 120 | 2.0860 | 6280048 | |
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| 0.0297 | 0.7946 | 125 | 2.1247 | 6547056 | |
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| 0.0283 | 0.8264 | 130 | 2.1514 | 6801816 | |
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| 0.0295 | 0.8582 | 135 | 2.1703 | 7057840 | |
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| 0.0326 | 0.8899 | 140 | 2.1964 | 7323848 | |
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| 0.0283 | 0.9217 | 145 | 2.1959 | 7580872 | |
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| 0.0439 | 0.9535 | 150 | 2.1948 | 7845552 | |
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| 0.0282 | 0.9853 | 155 | 2.1853 | 8107432 | |
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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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