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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_accumulate_iter3_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_accumulate_iter3_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: 1.1452 |
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- Num Input Tokens Seen: 5338776 |
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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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| 1.5228 | 0.0530 | 5 | 1.2631 | 285904 | |
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| 1.2844 | 0.1060 | 10 | 1.1761 | 573320 | |
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| 1.269 | 0.1589 | 15 | 1.1464 | 856296 | |
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| 1.1088 | 0.2119 | 20 | 1.1267 | 1134800 | |
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| 1.0695 | 0.2649 | 25 | 1.1290 | 1413200 | |
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| 1.027 | 0.3179 | 30 | 1.1306 | 1697288 | |
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| 0.9688 | 0.3709 | 35 | 1.1340 | 1980216 | |
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| 0.9701 | 0.4238 | 40 | 1.1427 | 2266568 | |
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| 0.949 | 0.4768 | 45 | 1.1409 | 2548552 | |
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| 0.9408 | 0.5298 | 50 | 1.1578 | 2839880 | |
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| 0.9139 | 0.5828 | 55 | 1.1506 | 3115520 | |
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| 0.8606 | 0.6358 | 60 | 1.1560 | 3398440 | |
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| 0.8238 | 0.6887 | 65 | 1.1561 | 3687696 | |
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| 0.8161 | 0.7417 | 70 | 1.1506 | 3977240 | |
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| 0.7423 | 0.7947 | 75 | 1.1503 | 4256976 | |
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| 0.7188 | 0.8477 | 80 | 1.1514 | 4544776 | |
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| 0.6642 | 0.9007 | 85 | 1.1464 | 4827760 | |
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| 0.6403 | 0.9536 | 90 | 1.1524 | 5108184 | |
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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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