metadata
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_replace_iter6_sftsd2
results: []
collapse_gemma-2-9b_hs2_replace_iter6_sftsd2
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: 1.5665
- Num Input Tokens Seen: 4530600
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: 2
- 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 |
| 1.3097 | 0.0511 | 5 | 1.0698 | 229532 |
| 0.4786 | 0.1021 | 10 | 1.2058 | 462632 |
| 0.1486 | 0.1532 | 15 | 1.3852 | 694572 |
| 0.0712 | 0.2043 | 20 | 1.4796 | 924920 |
| 0.0308 | 0.2553 | 25 | 1.6805 | 1159600 |
| 0.0246 | 0.3064 | 30 | 1.6485 | 1394384 |
| 0.0249 | 0.3575 | 35 | 1.7296 | 1625220 |
| 0.0245 | 0.4086 | 40 | 1.7449 | 1861604 |
| 0.0279 | 0.4596 | 45 | 1.6980 | 2092352 |
| 0.0308 | 0.5107 | 50 | 1.5217 | 2328876 |
| 0.0227 | 0.5618 | 55 | 1.4251 | 2558408 |
| 0.0198 | 0.6128 | 60 | 1.4416 | 2786776 |
| 0.0244 | 0.6639 | 65 | 1.4659 | 3022844 |
| 0.0223 | 0.7150 | 70 | 1.4740 | 3252704 |
| 0.0217 | 0.7660 | 75 | 1.4962 | 3486108 |
| 0.0223 | 0.8171 | 80 | 1.5131 | 3722364 |
| 0.0211 | 0.8682 | 85 | 1.5303 | 3959596 |
| 0.0202 | 0.9192 | 90 | 1.5489 | 4199296 |
| 0.0213 | 0.9703 | 95 | 1.5624 | 4434360 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1