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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_iter8_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_replace_iter8_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: 2.5160 |
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- Num Input Tokens Seen: 4690368 |
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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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| 1.6266 | 0.0511 | 5 | 1.2779 | 235280 | |
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| 0.9347 | 0.1021 | 10 | 1.2886 | 475376 | |
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| 0.4911 | 0.1532 | 15 | 1.4993 | 716736 | |
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| 0.186 | 0.2042 | 20 | 1.7498 | 957152 | |
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| 0.1313 | 0.2553 | 25 | 1.9671 | 1198616 | |
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| 0.0834 | 0.3063 | 30 | 2.1763 | 1438792 | |
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| 0.0339 | 0.3574 | 35 | 2.2526 | 1680696 | |
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| 0.0429 | 0.4084 | 40 | 2.3952 | 1923576 | |
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| 0.0276 | 0.4595 | 45 | 2.4498 | 2170944 | |
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| 0.0286 | 0.5105 | 50 | 2.4620 | 2412248 | |
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| 0.0248 | 0.5616 | 55 | 2.4851 | 2656800 | |
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| 0.0245 | 0.6126 | 60 | 2.4803 | 2896688 | |
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| 0.0223 | 0.6637 | 65 | 2.4790 | 3133576 | |
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| 0.0237 | 0.7147 | 70 | 2.4814 | 3379344 | |
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| 0.0232 | 0.7658 | 75 | 2.4871 | 3623816 | |
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| 0.0267 | 0.8168 | 80 | 2.4882 | 3864024 | |
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| 0.0206 | 0.8679 | 85 | 2.4975 | 4105224 | |
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| 0.0218 | 0.9190 | 90 | 2.5140 | 4349992 | |
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| 0.023 | 0.9700 | 95 | 2.5206 | 4592336 | |
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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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