metadata
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_accumulate_iter1_sftsd1
results: []
collapse_gemma-2-9b_hs2_accumulate_iter1_sftsd1
This model is a fine-tuned version of google/gemma-2-9b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9313
- Num Input Tokens Seen: 5254884
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: 4
- eval_batch_size: 16
- seed: 1
- gradient_accumulation_steps: 32
- 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 | 1.2335 | 0 |
| 1.0811 | 0.0511 | 5 | 1.0631 | 260128 |
| 1.0247 | 0.1021 | 10 | 0.9817 | 527396 |
| 0.9713 | 0.1532 | 15 | 0.9695 | 803280 |
| 1.0094 | 0.2043 | 20 | 0.9637 | 1074404 |
| 0.9265 | 0.2553 | 25 | 0.9583 | 1348060 |
| 1.0149 | 0.3064 | 30 | 0.9544 | 1614960 |
| 0.9107 | 0.3575 | 35 | 0.9504 | 1884844 |
| 0.9349 | 0.4086 | 40 | 0.9473 | 2154208 |
| 0.9956 | 0.4596 | 45 | 0.9446 | 2424544 |
| 0.8864 | 0.5107 | 50 | 0.9431 | 2690292 |
| 0.9664 | 0.5618 | 55 | 0.9416 | 2962944 |
| 0.9601 | 0.6128 | 60 | 0.9398 | 3234692 |
| 0.9302 | 0.6639 | 65 | 0.9377 | 3510980 |
| 0.9355 | 0.7150 | 70 | 0.9365 | 3790388 |
| 0.9319 | 0.7660 | 75 | 0.9356 | 4069200 |
| 1.0081 | 0.8171 | 80 | 0.9351 | 4338748 |
| 0.9418 | 0.8682 | 85 | 0.9336 | 4606552 |
| 0.8993 | 0.9192 | 90 | 0.9321 | 4877900 |
| 0.9327 | 0.9703 | 95 | 0.9321 | 5147172 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1