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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_iter6_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_iter6_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: 2.4135 |
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- Num Input Tokens Seen: 7971776 |
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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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| 1.6219 | 0.0316 | 5 | 1.3079 | 253136 | |
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| 1.2932 | 0.0631 | 10 | 1.2378 | 505728 | |
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| 0.797 | 0.0947 | 15 | 1.2940 | 753248 | |
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| 0.6825 | 0.1263 | 20 | 1.4640 | 1008520 | |
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| 0.4083 | 0.1579 | 25 | 1.6136 | 1265712 | |
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| 0.2934 | 0.1894 | 30 | 1.7972 | 1522896 | |
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| 0.1426 | 0.2210 | 35 | 1.9343 | 1771056 | |
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| 0.0768 | 0.2526 | 40 | 2.0985 | 2021720 | |
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| 0.0598 | 0.2841 | 45 | 2.2231 | 2266568 | |
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| 0.0343 | 0.3157 | 50 | 2.2738 | 2525864 | |
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| 0.035 | 0.3473 | 55 | 2.3380 | 2773832 | |
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| 0.0341 | 0.3788 | 60 | 2.3578 | 3025992 | |
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| 0.0324 | 0.4104 | 65 | 2.3326 | 3282432 | |
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| 0.0339 | 0.4420 | 70 | 2.3815 | 3531744 | |
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| 0.0309 | 0.4736 | 75 | 2.4070 | 3780960 | |
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| 0.0319 | 0.5051 | 80 | 2.3871 | 4036832 | |
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| 0.03 | 0.5367 | 85 | 2.3862 | 4292040 | |
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| 0.0303 | 0.5683 | 90 | 2.3838 | 4532720 | |
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| 0.0295 | 0.5998 | 95 | 2.3943 | 4785512 | |
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| 0.0325 | 0.6314 | 100 | 2.3693 | 5041576 | |
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| 0.0321 | 0.6630 | 105 | 2.3452 | 5296640 | |
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| 0.0291 | 0.6946 | 110 | 2.3231 | 5545576 | |
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| 0.0271 | 0.7261 | 115 | 2.3197 | 5803840 | |
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| 0.025 | 0.7577 | 120 | 2.3552 | 6061792 | |
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| 0.0245 | 0.7893 | 125 | 2.3695 | 6314664 | |
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| 0.0595 | 0.8208 | 130 | 2.3968 | 6573472 | |
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| 0.0259 | 0.8524 | 135 | 2.4351 | 6821240 | |
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| 0.0262 | 0.8840 | 140 | 2.4190 | 7072472 | |
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| 0.0264 | 0.9155 | 145 | 2.4247 | 7323632 | |
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| 0.029 | 0.9471 | 150 | 2.4290 | 7572360 | |
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| 0.0282 | 0.9787 | 155 | 2.4186 | 7816368 | |
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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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