metadata
license: gemma
base_model: jkazdan/step_val_25_gemma-2-2b_hs2_iter1_sftsd2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: augmented_step_val_25_gemma-2-2b_hs2_iter1_sftsd1
results: []
augmented_step_val_25_gemma-2-2b_hs2_iter1_sftsd1
This model is a fine-tuned version of jkazdan/step_val_25_gemma-2-2b_hs2_iter1_sftsd2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4633
- Num Input Tokens Seen: 8037456
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 | 1.0950 | 0 |
| 1.3679 | 0.0346 | 5 | 1.0949 | 278656 |
| 1.2514 | 0.0692 | 10 | 1.1089 | 558136 |
| 1.245 | 0.1038 | 15 | 1.1349 | 828560 |
| 1.0777 | 0.1383 | 20 | 1.1824 | 1108192 |
| 0.9197 | 0.1729 | 25 | 1.2347 | 1388824 |
| 0.7782 | 0.2075 | 30 | 1.3223 | 1665952 |
| 0.6517 | 0.2421 | 35 | 1.3822 | 1950056 |
| 0.538 | 0.2767 | 40 | 1.4250 | 2228112 |
| 0.484 | 0.3113 | 45 | 1.5033 | 2510296 |
| 0.4439 | 0.3459 | 50 | 1.4842 | 2795248 |
| 0.3461 | 0.3805 | 55 | 1.4639 | 3079696 |
| 0.233 | 0.4150 | 60 | 1.5173 | 3363824 |
| 0.285 | 0.4496 | 65 | 1.4692 | 3641232 |
| 0.3629 | 0.4842 | 70 | 1.4453 | 3912784 |
| 0.299 | 0.5188 | 75 | 1.4535 | 4191336 |
| 0.1821 | 0.5534 | 80 | 1.4589 | 4471320 |
| 0.1861 | 0.5880 | 85 | 1.4087 | 4751488 |
| 0.1433 | 0.6226 | 90 | 1.4598 | 5027576 |
| 0.168 | 0.6572 | 95 | 1.4293 | 5303728 |
| 0.1826 | 0.6917 | 100 | 1.4074 | 5582944 |
| 0.1109 | 0.7263 | 105 | 1.4264 | 5859696 |
| 0.1645 | 0.7609 | 110 | 1.4006 | 6130248 |
| 0.1012 | 0.7955 | 115 | 1.3990 | 6409520 |
| 0.0968 | 0.8301 | 120 | 1.4104 | 6691040 |
| 0.1176 | 0.8647 | 125 | 1.4425 | 6969344 |
| 0.1783 | 0.8993 | 130 | 1.4141 | 7248104 |
| 0.099 | 0.9339 | 135 | 1.4359 | 7526360 |
| 0.1133 | 0.9684 | 140 | 1.4366 | 7808664 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1