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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_accumulatesubsample_iter20_sftsd1 |
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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_accumulatesubsample_iter20_sftsd1 |
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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: 1.2128 |
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- Num Input Tokens Seen: 4956000 |
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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: 1 |
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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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| 1.3061 | 0.0526 | 5 | 1.2755 | 257768 | |
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| 1.1139 | 0.1053 | 10 | 1.2161 | 516928 | |
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| 0.8992 | 0.1579 | 15 | 1.2251 | 774912 | |
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| 0.7783 | 0.2105 | 20 | 1.2543 | 1046504 | |
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| 0.6654 | 0.2632 | 25 | 1.2786 | 1304672 | |
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| 0.6199 | 0.3158 | 30 | 1.2854 | 1564472 | |
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| 0.5221 | 0.3684 | 35 | 1.2730 | 1825704 | |
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| 0.4487 | 0.4211 | 40 | 1.2795 | 2083416 | |
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| 0.467 | 0.4737 | 45 | 1.2633 | 2341304 | |
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| 0.4486 | 0.5263 | 50 | 1.2577 | 2609808 | |
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| 0.4169 | 0.5789 | 55 | 1.2187 | 2865536 | |
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| 0.3921 | 0.6316 | 60 | 1.2464 | 3125408 | |
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| 0.3376 | 0.6842 | 65 | 1.2217 | 3387088 | |
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| 0.3697 | 0.7368 | 70 | 1.2219 | 3650704 | |
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| 0.3067 | 0.7895 | 75 | 1.2148 | 3918312 | |
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| 0.3436 | 0.8421 | 80 | 1.2127 | 4176968 | |
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| 0.3345 | 0.8947 | 85 | 1.2084 | 4435856 | |
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| 0.3397 | 0.9474 | 90 | 1.2054 | 4698528 | |
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| 0.2657 | 1.0 | 95 | 1.2128 | 4956000 | |
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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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