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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_iter7_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_iter7_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: 2.4308 |
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- Num Input Tokens Seen: 4841952 |
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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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| 1.5346 | 0.0516 | 5 | 1.2786 | 260208 | |
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| 0.9281 | 0.1032 | 10 | 1.2957 | 512616 | |
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| 0.5962 | 0.1547 | 15 | 1.5282 | 766320 | |
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| 0.2905 | 0.2063 | 20 | 1.7105 | 1018352 | |
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| 0.2044 | 0.2579 | 25 | 1.9340 | 1270808 | |
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| 0.1128 | 0.3095 | 30 | 2.0841 | 1527056 | |
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| 0.0634 | 0.3611 | 35 | 2.2219 | 1778088 | |
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| 0.042 | 0.4126 | 40 | 2.3269 | 2022528 | |
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| 0.0308 | 0.4642 | 45 | 2.3926 | 2280096 | |
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| 0.0302 | 0.5158 | 50 | 2.4223 | 2535736 | |
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| 0.0273 | 0.5674 | 55 | 2.4248 | 2778432 | |
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| 0.0238 | 0.6190 | 60 | 2.4126 | 3034168 | |
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| 0.0253 | 0.6705 | 65 | 2.4444 | 3284112 | |
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| 0.0236 | 0.7221 | 70 | 2.4540 | 3539984 | |
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| 0.0261 | 0.7737 | 75 | 2.4524 | 3791064 | |
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| 0.0253 | 0.8253 | 80 | 2.4419 | 4033320 | |
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| 0.0264 | 0.8769 | 85 | 2.4440 | 4285000 | |
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| 0.0253 | 0.9284 | 90 | 2.4517 | 4543120 | |
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| 0.0253 | 0.9800 | 95 | 2.4359 | 4791856 | |
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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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