metadata
base_model: google/gemma-2-2b-it
library_name: peft
license: gemma
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Gemma-2b-MultiCap-mt
results: []
Gemma-2b-MultiCap-mt
This model is a fine-tuned version of google/gemma-2-2b-it on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8644
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1429 | 0.1277 | 50 | 1.1222 |
| 0.8782 | 0.2554 | 100 | 0.9298 |
| 0.8032 | 0.3831 | 150 | 0.8972 |
| 0.9111 | 0.5109 | 200 | 0.8814 |
| 0.8477 | 0.6386 | 250 | 0.8734 |
| 0.8528 | 0.7663 | 300 | 0.8679 |
| 0.8024 | 0.8940 | 350 | 0.8644 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1