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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_iter9_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_iter9_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: 2.5305 |
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- Num Input Tokens Seen: 4805008 |
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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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| 1.5231 | 0.0513 | 5 | 1.2790 | 249840 | |
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| 0.9028 | 0.1027 | 10 | 1.2972 | 494032 | |
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| 0.5406 | 0.1540 | 15 | 1.5467 | 747896 | |
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| 0.2367 | 0.2054 | 20 | 1.8042 | 994456 | |
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| 0.1891 | 0.2567 | 25 | 1.9924 | 1238888 | |
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| 0.0891 | 0.3081 | 30 | 2.1582 | 1483192 | |
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| 0.0613 | 0.3594 | 35 | 2.3303 | 1726032 | |
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| 0.0361 | 0.4108 | 40 | 2.4317 | 1973864 | |
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| 0.0255 | 0.4621 | 45 | 2.4696 | 2224064 | |
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| 0.0251 | 0.5135 | 50 | 2.5037 | 2481064 | |
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| 0.0244 | 0.5648 | 55 | 2.5279 | 2724856 | |
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| 0.0234 | 0.6162 | 60 | 2.5367 | 2979392 | |
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| 0.0255 | 0.6675 | 65 | 2.5210 | 3223656 | |
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| 0.0291 | 0.7189 | 70 | 2.5165 | 3468936 | |
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| 0.0237 | 0.7702 | 75 | 2.4977 | 3711296 | |
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| 0.0233 | 0.8216 | 80 | 2.4937 | 3960920 | |
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| 0.0217 | 0.8729 | 85 | 2.5052 | 4202464 | |
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| 0.0228 | 0.9243 | 90 | 2.5141 | 4452272 | |
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| 0.0221 | 0.9756 | 95 | 2.5258 | 4700624 | |
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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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