|
--- |
|
license: gemma |
|
base_model: google/gemma-2-2b |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
model-index: |
|
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter12_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_accumulatesubsample_iter12_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: 1.2041 |
|
- Num Input Tokens Seen: 4994976 |
|
|
|
## 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 | 1.3909 | 0 | |
|
| 1.4166 | 0.0539 | 5 | 1.2769 | 264784 | |
|
| 1.181 | 0.1077 | 10 | 1.2129 | 544496 | |
|
| 0.9778 | 0.1616 | 15 | 1.2133 | 810896 | |
|
| 0.9186 | 0.2155 | 20 | 1.2228 | 1084848 | |
|
| 0.8617 | 0.2694 | 25 | 1.2353 | 1354664 | |
|
| 0.7313 | 0.3232 | 30 | 1.2450 | 1624584 | |
|
| 0.5778 | 0.3771 | 35 | 1.2580 | 1893920 | |
|
| 0.6233 | 0.4310 | 40 | 1.2506 | 2170792 | |
|
| 0.5564 | 0.4848 | 45 | 1.2258 | 2440400 | |
|
| 0.6599 | 0.5387 | 50 | 1.2106 | 2719504 | |
|
| 0.4742 | 0.5926 | 55 | 1.2293 | 2999912 | |
|
| 0.474 | 0.6465 | 60 | 1.2061 | 3261600 | |
|
| 0.6034 | 0.7003 | 65 | 1.2262 | 3537920 | |
|
| 0.4712 | 0.7542 | 70 | 1.1980 | 3804184 | |
|
| 0.544 | 0.8081 | 75 | 1.2184 | 4076984 | |
|
| 0.4497 | 0.8620 | 80 | 1.1947 | 4344192 | |
|
| 0.4503 | 0.9158 | 85 | 1.2074 | 4615280 | |
|
| 0.4385 | 0.9697 | 90 | 1.2039 | 4885496 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.0 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
