metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter20_sftsd1
results: []
collapse_gemma-2-2b_hs2_accumulatesubsample_iter20_sftsd1
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: 1.2128
- Num Input Tokens Seen: 4956000
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 | 1.3909 | 0 |
| 1.3061 | 0.0526 | 5 | 1.2755 | 257768 |
| 1.1139 | 0.1053 | 10 | 1.2161 | 516928 |
| 0.8992 | 0.1579 | 15 | 1.2251 | 774912 |
| 0.7783 | 0.2105 | 20 | 1.2543 | 1046504 |
| 0.6654 | 0.2632 | 25 | 1.2786 | 1304672 |
| 0.6199 | 0.3158 | 30 | 1.2854 | 1564472 |
| 0.5221 | 0.3684 | 35 | 1.2730 | 1825704 |
| 0.4487 | 0.4211 | 40 | 1.2795 | 2083416 |
| 0.467 | 0.4737 | 45 | 1.2633 | 2341304 |
| 0.4486 | 0.5263 | 50 | 1.2577 | 2609808 |
| 0.4169 | 0.5789 | 55 | 1.2187 | 2865536 |
| 0.3921 | 0.6316 | 60 | 1.2464 | 3125408 |
| 0.3376 | 0.6842 | 65 | 1.2217 | 3387088 |
| 0.3697 | 0.7368 | 70 | 1.2219 | 3650704 |
| 0.3067 | 0.7895 | 75 | 1.2148 | 3918312 |
| 0.3436 | 0.8421 | 80 | 1.2127 | 4176968 |
| 0.3345 | 0.8947 | 85 | 1.2084 | 4435856 |
| 0.3397 | 0.9474 | 90 | 1.2054 | 4698528 |
| 0.2657 | 1.0 | 95 | 1.2128 | 4956000 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1