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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_iter14_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_iter14_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: 1.2046 |
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- Num Input Tokens Seen: 4998392 |
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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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| 1.4664 | 0.0531 | 5 | 1.2779 | 265768 | |
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| 1.0297 | 0.1062 | 10 | 1.2239 | 526776 | |
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| 0.9672 | 0.1594 | 15 | 1.2051 | 794288 | |
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| 0.9285 | 0.2125 | 20 | 1.2391 | 1063824 | |
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| 0.7632 | 0.2656 | 25 | 1.2306 | 1332408 | |
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| 0.7406 | 0.3187 | 30 | 1.2478 | 1595464 | |
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| 0.6883 | 0.3718 | 35 | 1.2507 | 1871024 | |
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| 0.5929 | 0.4250 | 40 | 1.2429 | 2133560 | |
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| 0.4589 | 0.4781 | 45 | 1.2391 | 2394480 | |
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| 0.6095 | 0.5312 | 50 | 1.2221 | 2663544 | |
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| 0.5181 | 0.5843 | 55 | 1.2246 | 2930064 | |
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| 0.4917 | 0.6375 | 60 | 1.2135 | 3199536 | |
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| 0.5105 | 0.6906 | 65 | 1.2249 | 3465264 | |
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| 0.4253 | 0.7437 | 70 | 1.2138 | 3727952 | |
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| 0.4506 | 0.7968 | 75 | 1.2148 | 3991304 | |
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| 0.4301 | 0.8499 | 80 | 1.2095 | 4255664 | |
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| 0.432 | 0.9031 | 85 | 1.2015 | 4523456 | |
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| 0.3698 | 0.9562 | 90 | 1.2208 | 4781552 | |
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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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