| | --- |
| | license: gemma |
| | base_model: google/gemma-2-2b |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | model-index: |
| | - name: collapse_gemma-2-2b_hs2_replace_iter5_sftsd1 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # collapse_gemma-2-2b_hs2_replace_iter5_sftsd1 |
| | |
| | This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.4466 |
| | - Num Input Tokens Seen: 8280920 |
| | |
| | ## Model description |
| | |
| | More information needed |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | More information needed |
| | |
| | ## Training procedure |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 8e-06 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 16 |
| | - seed: 1 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 128 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: constant_with_warmup |
| | - lr_scheduler_warmup_ratio: 0.05 |
| | - num_epochs: 1 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
| | |:-------------:|:------:|:----:|:---------------:|:-----------------:| |
| | | No log | 0 | 0 | 1.3956 | 0 | |
| | | 1.6329 | 0.0318 | 5 | 1.3100 | 261936 | |
| | | 1.0812 | 0.0635 | 10 | 1.2393 | 527984 | |
| | | 0.8509 | 0.0953 | 15 | 1.2939 | 798792 | |
| | | 0.5856 | 0.1271 | 20 | 1.4435 | 1068224 | |
| | | 0.3945 | 0.1589 | 25 | 1.5981 | 1333664 | |
| | | 0.2591 | 0.1906 | 30 | 1.7370 | 1600920 | |
| | | 0.2297 | 0.2224 | 35 | 1.9540 | 1862864 | |
| | | 0.1491 | 0.2542 | 40 | 2.0318 | 2119104 | |
| | | 0.0693 | 0.2859 | 45 | 2.2388 | 2377720 | |
| | | 0.0509 | 0.3177 | 50 | 2.3196 | 2637816 | |
| | | 0.0475 | 0.3495 | 55 | 2.3864 | 2900952 | |
| | | 0.034 | 0.3813 | 60 | 2.4376 | 3166456 | |
| | | 0.0324 | 0.4130 | 65 | 2.4449 | 3436144 | |
| | | 0.034 | 0.4448 | 70 | 2.4523 | 3702280 | |
| | | 0.0326 | 0.4766 | 75 | 2.4438 | 3966328 | |
| | | 0.0336 | 0.5083 | 80 | 2.4354 | 4221440 | |
| | | 0.0313 | 0.5401 | 85 | 2.4139 | 4486432 | |
| | | 0.0283 | 0.5719 | 90 | 2.3846 | 4751320 | |
| | | 0.0301 | 0.6037 | 95 | 2.3932 | 5019592 | |
| | | 0.0284 | 0.6354 | 100 | 2.4044 | 5280712 | |
| | | 0.0256 | 0.6672 | 105 | 2.4084 | 5539944 | |
| | | 0.0329 | 0.6990 | 110 | 2.4300 | 5807632 | |
| | | 0.0266 | 0.7307 | 115 | 2.4236 | 6068760 | |
| | | 0.0267 | 0.7625 | 120 | 2.4100 | 6331712 | |
| | | 0.0268 | 0.7943 | 125 | 2.4094 | 6593680 | |
| | | 0.0272 | 0.8261 | 130 | 2.4229 | 6859744 | |
| | | 0.0296 | 0.8578 | 135 | 2.4294 | 7118040 | |
| | | 0.027 | 0.8896 | 140 | 2.4374 | 7383424 | |
| | | 0.0264 | 0.9214 | 145 | 2.4434 | 7650680 | |
| | | 0.0248 | 0.9531 | 150 | 2.4362 | 7915376 | |
| | | 0.0264 | 0.9849 | 155 | 2.4400 | 8174680 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.44.0 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| | |
