|
--- |
|
license: gemma |
|
base_model: google/gemma-2-9b |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
model-index: |
|
- name: collapse_gemma-2-9b_hs2_replace_iter4_sftsd2 |
|
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-2-9b_hs2_replace_iter4_sftsd2 |
|
|
|
This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.4790 |
|
- Num Input Tokens Seen: 4639036 |
|
|
|
## 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 | |
|
| 1.2061 | 0.0511 | 5 | 1.0694 | 240324 | |
|
| 0.5247 | 0.1022 | 10 | 1.1930 | 482000 | |
|
| 0.2089 | 0.1533 | 15 | 1.3107 | 712380 | |
|
| 0.0939 | 0.2044 | 20 | 1.4465 | 957020 | |
|
| 0.0504 | 0.2555 | 25 | 1.5378 | 1188912 | |
|
| 0.0456 | 0.3066 | 30 | 1.4778 | 1428132 | |
|
| 0.0331 | 0.3577 | 35 | 1.4145 | 1677336 | |
|
| 0.0238 | 0.4088 | 40 | 1.4888 | 1914204 | |
|
| 0.0255 | 0.4599 | 45 | 1.5425 | 2146180 | |
|
| 0.0243 | 0.5110 | 50 | 1.5185 | 2379516 | |
|
| 0.0381 | 0.5621 | 55 | 1.4742 | 2619096 | |
|
| 0.0305 | 0.6132 | 60 | 1.4191 | 2862804 | |
|
| 0.0227 | 0.6643 | 65 | 1.4256 | 3103004 | |
|
| 0.021 | 0.7154 | 70 | 1.4350 | 3346964 | |
|
| 0.0279 | 0.7665 | 75 | 1.4590 | 3587168 | |
|
| 0.0242 | 0.8176 | 80 | 1.5009 | 3830384 | |
|
| 0.0262 | 0.8687 | 85 | 1.4784 | 4068408 | |
|
| 0.0244 | 0.9198 | 90 | 1.4782 | 4308452 | |
|
| 0.0228 | 0.9709 | 95 | 1.4777 | 4542732 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.0 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
