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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_iter12_sftsd1 |
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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_iter12_sftsd1 |
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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: 1.1920 |
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- Num Input Tokens Seen: 5011248 |
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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: 1 |
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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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| 1.3649 | 0.0529 | 5 | 1.2745 | 267096 | |
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| 1.1224 | 0.1058 | 10 | 1.2058 | 530288 | |
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| 0.9974 | 0.1587 | 15 | 1.2049 | 800248 | |
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| 0.8189 | 0.2116 | 20 | 1.2372 | 1058320 | |
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| 0.7833 | 0.2646 | 25 | 1.2189 | 1325704 | |
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| 0.6665 | 0.3175 | 30 | 1.2693 | 1584760 | |
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| 0.5681 | 0.3704 | 35 | 1.2443 | 1856304 | |
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| 0.5335 | 0.4233 | 40 | 1.2355 | 2125480 | |
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| 0.5541 | 0.4762 | 45 | 1.2238 | 2393968 | |
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| 0.4262 | 0.5291 | 50 | 1.2276 | 2656976 | |
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| 0.4628 | 0.5820 | 55 | 1.2021 | 2920640 | |
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| 0.3494 | 0.6349 | 60 | 1.2094 | 3190360 | |
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| 0.4511 | 0.6878 | 65 | 1.1954 | 3457336 | |
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| 0.3678 | 0.7407 | 70 | 1.1997 | 3727624 | |
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| 0.4241 | 0.7937 | 75 | 1.1929 | 3995904 | |
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| 0.3534 | 0.8466 | 80 | 1.1951 | 4259976 | |
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| 0.3476 | 0.8995 | 85 | 1.1903 | 4524480 | |
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| 0.4014 | 0.9524 | 90 | 1.1970 | 4798896 | |
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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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