metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter5_sftsd2
results: []
collapse_gemma-2-2b_hs2_replace_iter5_sftsd2
This model is a fine-tuned version of google/gemma-2-2b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2408
- Num Input Tokens Seen: 4919592
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 | 1.3909 | 0 |
| 1.7001 | 0.0513 | 5 | 1.2745 | 250576 |
| 0.9776 | 0.1026 | 10 | 1.2553 | 507984 |
| 0.6411 | 0.1539 | 15 | 1.4389 | 759912 |
| 0.3549 | 0.2053 | 20 | 1.6506 | 1017344 |
| 0.1684 | 0.2566 | 25 | 1.8128 | 1261720 |
| 0.0927 | 0.3079 | 30 | 1.9916 | 1509936 |
| 0.088 | 0.3592 | 35 | 2.1525 | 1762648 |
| 0.0417 | 0.4105 | 40 | 2.2521 | 2020112 |
| 0.0409 | 0.4618 | 45 | 2.2578 | 2273928 |
| 0.0342 | 0.5131 | 50 | 2.2295 | 2525056 |
| 0.0366 | 0.5645 | 55 | 2.2589 | 2779656 |
| 0.0259 | 0.6158 | 60 | 2.2810 | 3029816 |
| 0.0289 | 0.6671 | 65 | 2.2621 | 3284000 |
| 0.0332 | 0.7184 | 70 | 2.2593 | 3542064 |
| 0.0288 | 0.7697 | 75 | 2.2449 | 3801936 |
| 0.0246 | 0.8210 | 80 | 2.2357 | 4058824 |
| 0.025 | 0.8724 | 85 | 2.2324 | 4315048 |
| 0.0273 | 0.9237 | 90 | 2.2358 | 4563000 |
| 0.0226 | 0.9750 | 95 | 2.2411 | 4812984 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1