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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_iter3_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_iter3_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: 1.9480 |
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- Num Input Tokens Seen: 5391904 |
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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 | 1.3909 | 0 | |
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| 1.5565 | 0.0525 | 5 | 1.2728 | 291256 | |
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| 1.0932 | 0.1050 | 10 | 1.2207 | 576856 | |
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| 0.7974 | 0.1575 | 15 | 1.3414 | 859856 | |
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| 0.6902 | 0.2100 | 20 | 1.4786 | 1143424 | |
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| 0.408 | 0.2625 | 25 | 1.5763 | 1425944 | |
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| 0.2647 | 0.3150 | 30 | 1.7198 | 1705536 | |
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| 0.183 | 0.3675 | 35 | 1.8118 | 1986632 | |
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| 0.1028 | 0.4199 | 40 | 1.8767 | 2264728 | |
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| 0.0944 | 0.4724 | 45 | 1.9227 | 2547680 | |
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| 0.054 | 0.5249 | 50 | 1.9488 | 2835016 | |
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| 0.0758 | 0.5774 | 55 | 1.8554 | 3117064 | |
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| 0.0682 | 0.6299 | 60 | 1.8586 | 3408136 | |
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| 0.0638 | 0.6824 | 65 | 1.9812 | 3686176 | |
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| 0.0693 | 0.7349 | 70 | 2.0412 | 3968392 | |
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| 0.049 | 0.7874 | 75 | 2.0365 | 4248416 | |
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| 0.0394 | 0.8399 | 80 | 1.9713 | 4537376 | |
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| 0.0341 | 0.8924 | 85 | 1.9624 | 4822888 | |
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| 0.0517 | 0.9449 | 90 | 1.9243 | 5112896 | |
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| 0.0362 | 0.9974 | 95 | 1.9480 | 5391904 | |
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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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