|
|
--- |
|
|
license: gemma |
|
|
base_model: google/gemma-2-2b |
|
|
tags: |
|
|
- trl |
|
|
- sft |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: collapse_gemma-2-2b_hs2_replace_iter9_sftsd0 |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# collapse_gemma-2-2b_hs2_replace_iter9_sftsd0 |
|
|
|
|
|
This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 2.6415 |
|
|
- Num Input Tokens Seen: 7914176 |
|
|
|
|
|
## 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: 0 |
|
|
- 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 | 1.3956 | 0 | |
|
|
| 1.6327 | 0.0315 | 5 | 1.3089 | 247632 | |
|
|
| 1.1975 | 0.0630 | 10 | 1.2561 | 504648 | |
|
|
| 0.7639 | 0.0945 | 15 | 1.3571 | 747296 | |
|
|
| 0.513 | 0.1259 | 20 | 1.5568 | 1008344 | |
|
|
| 0.3238 | 0.1574 | 25 | 1.6800 | 1260640 | |
|
|
| 0.1575 | 0.1889 | 30 | 1.8364 | 1510496 | |
|
|
| 0.1051 | 0.2204 | 35 | 2.0453 | 1761320 | |
|
|
| 0.0558 | 0.2519 | 40 | 2.1727 | 2016736 | |
|
|
| 0.0395 | 0.2834 | 45 | 2.3560 | 2261448 | |
|
|
| 0.0314 | 0.3148 | 50 | 2.4808 | 2507808 | |
|
|
| 0.0264 | 0.3463 | 55 | 2.5543 | 2762208 | |
|
|
| 0.0291 | 0.3778 | 60 | 2.5322 | 3006848 | |
|
|
| 0.0324 | 0.4093 | 65 | 2.5662 | 3253536 | |
|
|
| 0.0291 | 0.4408 | 70 | 2.6164 | 3500992 | |
|
|
| 0.0271 | 0.4723 | 75 | 2.6075 | 3746280 | |
|
|
| 0.0269 | 0.5037 | 80 | 2.5847 | 3999584 | |
|
|
| 0.0248 | 0.5352 | 85 | 2.5952 | 4246920 | |
|
|
| 0.0244 | 0.5667 | 90 | 2.6096 | 4503608 | |
|
|
| 0.0247 | 0.5982 | 95 | 2.6188 | 4754536 | |
|
|
| 0.0233 | 0.6297 | 100 | 2.6244 | 5005328 | |
|
|
| 0.0248 | 0.6612 | 105 | 2.6260 | 5255024 | |
|
|
| 0.0237 | 0.6926 | 110 | 2.6294 | 5501344 | |
|
|
| 0.0277 | 0.7241 | 115 | 2.6373 | 5757840 | |
|
|
| 0.0256 | 0.7556 | 120 | 2.6263 | 6010232 | |
|
|
| 0.0254 | 0.7871 | 125 | 2.6241 | 6256112 | |
|
|
| 0.0232 | 0.8186 | 130 | 2.6195 | 6504184 | |
|
|
| 0.0243 | 0.8501 | 135 | 2.6216 | 6755968 | |
|
|
| 0.0243 | 0.8815 | 140 | 2.6244 | 7006776 | |
|
|
| 0.0255 | 0.9130 | 145 | 2.6225 | 7262768 | |
|
|
| 0.0251 | 0.9445 | 150 | 2.6236 | 7515400 | |
|
|
| 0.0243 | 0.9760 | 155 | 2.6327 | 7765712 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.44.0 |
|
|
- Pytorch 2.4.0+cu121 |
|
|
- Datasets 2.20.0 |
|
|
- Tokenizers 0.19.1 |
|
|
|
