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--- |
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license: gemma |
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base_model: google/gemma-2-27b |
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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-2-27b_hs2_replace_iter2_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-2-27b_hs2_replace_iter2_sftsd2 |
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This model is a fine-tuned version of [google/gemma-2-27b](https://huggingface.co/google/gemma-2-27b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2781 |
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- Num Input Tokens Seen: 3603012 |
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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: 4 |
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- eval_batch_size: 16 |
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- seed: 2 |
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- gradient_accumulation_steps: 32 |
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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 | 1.1282 | 0 | |
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| 2.7288 | 0.0560 | 5 | 1.0428 | 210528 | |
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| 2.2631 | 0.1121 | 10 | 1.0614 | 409500 | |
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| 1.7035 | 0.1681 | 15 | 1.0857 | 615964 | |
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| 1.0224 | 0.2242 | 20 | 1.1604 | 820452 | |
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| 0.7612 | 0.2802 | 25 | 1.1895 | 1018848 | |
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| 0.5972 | 0.3363 | 30 | 1.1930 | 1215560 | |
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| 0.6178 | 0.3923 | 35 | 1.1725 | 1409568 | |
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| 0.4143 | 0.4483 | 40 | 1.1575 | 1608480 | |
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| 0.5734 | 0.5044 | 45 | 1.1651 | 1812632 | |
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| 0.4687 | 0.5604 | 50 | 1.1621 | 2009960 | |
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| 0.6309 | 0.6165 | 55 | 1.1799 | 2223316 | |
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| 0.5393 | 0.6725 | 60 | 1.1957 | 2428084 | |
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| 0.271 | 0.7285 | 65 | 1.2141 | 2637248 | |
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| 0.4383 | 0.7846 | 70 | 1.2308 | 2837024 | |
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| 0.2703 | 0.8406 | 75 | 1.2080 | 3032684 | |
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| 0.3999 | 0.8967 | 80 | 1.2440 | 3240344 | |
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| 0.3003 | 0.9527 | 85 | 1.2357 | 3443968 | |
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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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