|
--- |
|
license: gemma |
|
base_model: google/gemma-2-2b |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
model-index: |
|
- name: collapse_gemma-2-2b_hs2_replace_iter7_sftsd1 |
|
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_iter7_sftsd1 |
|
|
|
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: 2.5502 |
|
- Num Input Tokens Seen: 4945256 |
|
|
|
## 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 | |
|
| 1.4075 | 0.0511 | 5 | 1.2768 | 262544 | |
|
| 0.9592 | 0.1021 | 10 | 1.2490 | 516672 | |
|
| 0.6262 | 0.1532 | 15 | 1.3861 | 768768 | |
|
| 0.4505 | 0.2042 | 20 | 1.5683 | 1029088 | |
|
| 0.2604 | 0.2553 | 25 | 1.7472 | 1282984 | |
|
| 0.1477 | 0.3063 | 30 | 1.9911 | 1535608 | |
|
| 0.072 | 0.3574 | 35 | 2.1880 | 1790128 | |
|
| 0.0485 | 0.4084 | 40 | 2.3094 | 2042896 | |
|
| 0.0376 | 0.4595 | 45 | 2.4429 | 2298696 | |
|
| 0.0293 | 0.5105 | 50 | 2.4744 | 2551432 | |
|
| 0.0301 | 0.5616 | 55 | 2.4918 | 2814520 | |
|
| 0.0241 | 0.6126 | 60 | 2.4981 | 3062952 | |
|
| 0.0233 | 0.6637 | 65 | 2.5132 | 3321896 | |
|
| 0.0241 | 0.7147 | 70 | 2.5177 | 3582960 | |
|
| 0.022 | 0.7658 | 75 | 2.5261 | 3830336 | |
|
| 0.0216 | 0.8168 | 80 | 2.5296 | 4090456 | |
|
| 0.0233 | 0.8679 | 85 | 2.5449 | 4344200 | |
|
| 0.0224 | 0.9190 | 90 | 2.5459 | 4595224 | |
|
| 0.0242 | 0.9700 | 95 | 2.5496 | 4844232 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.0 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
