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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_iter18_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_iter18_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: 2.6152 |
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- Num Input Tokens Seen: 4612568 |
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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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| 1.4791 | 0.0511 | 5 | 1.2823 | 234336 | |
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| 0.7755 | 0.1021 | 10 | 1.3555 | 468312 | |
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| 0.5206 | 0.1532 | 15 | 1.5591 | 705040 | |
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| 0.2677 | 0.2042 | 20 | 1.8280 | 942456 | |
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| 0.1169 | 0.2553 | 25 | 2.1030 | 1175928 | |
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| 0.0577 | 0.3063 | 30 | 2.3359 | 1415480 | |
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| 0.0419 | 0.3574 | 35 | 2.4555 | 1658512 | |
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| 0.0294 | 0.4084 | 40 | 2.5475 | 1894936 | |
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| 0.0247 | 0.4595 | 45 | 2.5924 | 2129624 | |
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| 0.0226 | 0.5105 | 50 | 2.6222 | 2365768 | |
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| 0.0234 | 0.5616 | 55 | 2.6268 | 2602808 | |
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| 0.0241 | 0.6126 | 60 | 2.6131 | 2839776 | |
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| 0.0235 | 0.6637 | 65 | 2.6022 | 3083424 | |
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| 0.0211 | 0.7147 | 70 | 2.5919 | 3314048 | |
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| 0.024 | 0.7658 | 75 | 2.5998 | 3557112 | |
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| 0.0232 | 0.8168 | 80 | 2.5986 | 3792832 | |
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| 0.0231 | 0.8679 | 85 | 2.5935 | 4040848 | |
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| 0.0237 | 0.9190 | 90 | 2.6008 | 4281816 | |
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| 0.0221 | 0.9700 | 95 | 2.6136 | 4515280 | |
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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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