| | --- |
| | license: gemma |
| | base_model: google/gemma-2-2b |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | model-index: |
| | - name: collapse_gemma-2-2b_hs2_replace_iter6_sftsd2 |
| | 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_iter6_sftsd2 |
| | |
| | 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: 2.5403 |
| | - Num Input Tokens Seen: 8006024 |
| | |
| | ## 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: 2 |
| | - 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 | |
| | | 1.6849 | 0.0315 | 5 | 1.3074 | 251000 | |
| | | 1.118 | 0.0630 | 10 | 1.2395 | 501688 | |
| | | 0.7452 | 0.0945 | 15 | 1.3250 | 754952 | |
| | | 0.6083 | 0.1259 | 20 | 1.4758 | 1008248 | |
| | | 0.3921 | 0.1574 | 25 | 1.6064 | 1265824 | |
| | | 0.259 | 0.1889 | 30 | 1.8043 | 1526472 | |
| | | 0.1544 | 0.2204 | 35 | 1.9984 | 1787752 | |
| | | 0.0991 | 0.2519 | 40 | 2.1525 | 2040120 | |
| | | 0.0448 | 0.2834 | 45 | 2.2692 | 2285400 | |
| | | 0.0467 | 0.3148 | 50 | 2.3345 | 2536824 | |
| | | 0.0435 | 0.3463 | 55 | 2.4326 | 2790040 | |
| | | 0.033 | 0.3778 | 60 | 2.5077 | 3046656 | |
| | | 0.031 | 0.4093 | 65 | 2.5876 | 3295608 | |
| | | 0.0311 | 0.4408 | 70 | 2.5704 | 3545992 | |
| | | 0.0287 | 0.4723 | 75 | 2.5464 | 3802920 | |
| | | 0.0257 | 0.5037 | 80 | 2.5635 | 4056400 | |
| | | 0.0303 | 0.5352 | 85 | 2.5473 | 4310104 | |
| | | 0.0252 | 0.5667 | 90 | 2.5338 | 4566456 | |
| | | 0.0271 | 0.5982 | 95 | 2.5463 | 4822016 | |
| | | 0.0269 | 0.6297 | 100 | 2.5515 | 5074048 | |
| | | 0.0264 | 0.6612 | 105 | 2.5565 | 5332864 | |
| | | 0.0272 | 0.6926 | 110 | 2.5661 | 5586528 | |
| | | 0.025 | 0.7241 | 115 | 2.5334 | 5839624 | |
| | | 0.0264 | 0.7556 | 120 | 2.5193 | 6095336 | |
| | | 0.0252 | 0.7871 | 125 | 2.5051 | 6352376 | |
| | | 0.0243 | 0.8186 | 130 | 2.5119 | 6603584 | |
| | | 0.0281 | 0.8501 | 135 | 2.5157 | 6852952 | |
| | | 0.0261 | 0.8815 | 140 | 2.5087 | 7101856 | |
| | | 0.0255 | 0.9130 | 145 | 2.5109 | 7353304 | |
| | | 0.0253 | 0.9445 | 150 | 2.5341 | 7598048 | |
| | | 0.0262 | 0.9760 | 155 | 2.5437 | 7851000 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.44.0 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| | |
