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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_iter18_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_accumulatesubsample_iter18_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: 1.2146 |
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- Num Input Tokens Seen: 4982224 |
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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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| 1.2659 | 0.0529 | 5 | 1.2807 | 264312 | |
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| 1.0915 | 0.1059 | 10 | 1.2298 | 531088 | |
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| 0.9617 | 0.1588 | 15 | 1.2146 | 797680 | |
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| 0.8165 | 0.2118 | 20 | 1.2558 | 1063768 | |
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| 0.6736 | 0.2647 | 25 | 1.2705 | 1333352 | |
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| 0.6868 | 0.3177 | 30 | 1.2647 | 1594824 | |
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| 0.5659 | 0.3706 | 35 | 1.2549 | 1858024 | |
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| 0.4964 | 0.4236 | 40 | 1.2572 | 2122648 | |
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| 0.4903 | 0.4765 | 45 | 1.2329 | 2390872 | |
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| 0.4303 | 0.5295 | 50 | 1.2455 | 2656160 | |
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| 0.5471 | 0.5824 | 55 | 1.2231 | 2921864 | |
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| 0.4603 | 0.6353 | 60 | 1.2356 | 3187064 | |
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| 0.4218 | 0.6883 | 65 | 1.2259 | 3449192 | |
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| 0.4204 | 0.7412 | 70 | 1.2386 | 3712440 | |
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| 0.4478 | 0.7942 | 75 | 1.2208 | 3978048 | |
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| 0.4628 | 0.8471 | 80 | 1.2195 | 4239360 | |
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| 0.3803 | 0.9001 | 85 | 1.2154 | 4498248 | |
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| 0.452 | 0.9530 | 90 | 1.2053 | 4767016 | |
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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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